AI 点评 · 国产模型以极低成本逼近顶级性能,价格战正重塑Agent赛道格局。
AI Agent
共 2119 条相关资讯 · 来自历史归档

IT之家 10 月 21 日消息,Netflix 最近推出了一个名为《AI 失控》(AI Gone Rogue)的纪录片,而人工智能平台 Hugging Face 联合创始人兼首席执行官克莱姆 · 德朗格(Clem Delangue)表示,这部纪录片内容并不准确。他本人出镜参演该片,是因为影片主题原本是讲述 OpenAI 失控智能体对其公司发起的那场知名攻击…
AI 点评 · AI圈内人亲自辟谣,揭示媒体为流量扭曲技术真相的行业隐忧。

The Smartsheet Model Context Protocol (MCP) Server lets AI agents read, update, and act on live work management data. This post shows two ways to connect it on AWS: Amazon Quick fo…

Octave built a secure, multi-tenant AI foundation on Amazon Bedrock, using Cohere Embed v4 for embeddings and Amazon Bedrock AgentCore for isolated agent execution, to power a Comp…

Mistral AI launched Voxtral 3, a new family of language models built for real-time voice agents. The system combines speech-to-text, text-to-speech, and a voice agent SDK, supports…

Hardcoded tool wiring breaks down as an agent's catalog grows from a handful of tools to hundreds. This post walks through a runtime Discover, Instantiate, Execute loop built on AW…

Learn how to secure multi-agent AI systems with cryptographic identity using Keyfactor EJBCA and AWS services. This reference architecture combines signed request envelopes, user-s…

Build a governed semantic layer for agentic AI on AWS with the Denodo Platform and Amazon Bedrock AgentCore. It federates Amazon Aurora, Amazon Redshift, and an on-premises Postgre…

Hysteria over the agent's appearance in a 7,500-person group reveals that internet experts have outdated notions of privacy.

The Army Cyber Command is developing AI agents that move through other networks like a computer worm and "neutralize" targets, according to internal documents. The program, codenam…
Voxtral 3: Mistral's voice agent SDK for real-time speech in 50+ languages — accurate transcription, emotional TTS, deep tool use. EU-hosted or self-deployed.

Nace AI released Drex Max, a multimodal decision model that reads text and screenshots and returns calibrated probabilities. Nace reports 67.59 on Decision Index 0.3.2 at $0.06 per…
Microsoft wants enterprises to closely watch the agents that employees use with systems not controlled by AI labs like OpenAI and Anthropic.
AI 点评 · 微软警示代理如内鬼,凸显AI信任边界难题,企业须重审第三方模型管控。
Muse Glimmer 30B: An On-Device Agentic Model | Research AI at Meta
AI 点评 · 30B参数塞进设备端还能跑智能体,端侧AI的实用化门槛又降了一截。
OpenCode is an open source AI coding agent that's become a popular alternative to Claude Code and Cursor. But hackers got into part of its online platform and stole some users’ API…
AI 点评 · 开源AI编程工具安全失守,用户API密钥被盗并遭扣费,暴露AI代理平台信任链隐患。
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet…
Multimodal large language models (MLLMs) have made rapid progress on visual reasoning, yet many tasks require evidence that is difficult to obtain through internal reasoning alone: our controlled stud…
While LLM agents can generate visually plausible CAD assemblies, these designs often fail to fulfill their intended physical functions. We study functional CAD design, a setting where agents interpret…
Long-horizon agents must learn heterogeneous capabilities from interleaved trajectories. Updating shared parameters to learn new capabilities can degrade previously acquired ones, resulting in catastr…
A seemingly reasonable push in Sokoban can make the puzzle unsolvable. To avoid such mistakes, an agent has to anticipate the consequences of its actions before execution, especially when feedback fro…
The goal of a world model is to capture the dynamics of an environment. This has the great appeal that it allows agents to plan and simulate a course of actions with the help of a world model. For the…
LLM agents that compute the right answer can still answer wrongly. Agent harnesses increasingly keep long tool outputs out of the context window, saving them to files that the agent searches or reads…
Frontier agents retrieve structural metadata well and compute geometry from coordinates less reliably. We ask how much of a benchmark score reflects that gap and how much reflects the evaluation confi…
Agent learning is shifting from learning from human data toward learning through interaction with the world. However, scaling such learning directly in real-world computer systems is challenging and c…
Beyond basic tool use and coding skills, effectively incorporating visual references into agentic generation is equally essential for applying AI agents to real-world productivity tasks. We study this…
Fed up with ads, tracking, and sluggish interfaces, some smart TV owners are turning to AI agents to strip away bloatware and take back control of their TVs.

Multi-turn agentic workloads reprocess growing conversation context each turn, driving up latency. See how bi-directional KV cache transfer lets prefill and decode nodes reuse prev…
Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers and also trying to make on-device, private AI agents a…
A hacker broke into more than 100 websites using an army of AI agents that mostly operated on their own, according to findings from the AI security firm Norforge. Though Norforge d…

AI agents are increasingly using Stripe's payment service Link to shop for their users, Upstarts Media reports. The article Stripe says AI agent purchases are adding up, but it won…
MiniMax has released M3.1 Flash, a 428B-parameter MoE model with about 23B active parameters and a 1M-token context. API pricing is $0.15/$0.60 per 1M tokens, with weights due Octo…
University of Michigan spinout Laplace Intelligence uses AI agents and interactive simulation to stress-test robots and self-driving vehicles before deployment. The profitable star…

What do AI agents do if you don’t tell them to do anything? The answer looks a lot like play. Researchers repeatedly stranded them alone on a virtual desert island for 30 hours in…
PhAI Labs 是一家面向下一代智能系统的新型研究组织(Neo Lab),长期关注人工智能与科学发现深度融合的前沿方向。
https://x.com/Jiaru_Zou/status/2110400256647340476 https://github.com/togethercomputer/HybridAgent https://huggingface.co/collections/togethercomputer/hybridag... Evaluations: http…
AI 点评 · 混合推理让智能体在潜空间思考、用文本行动,兼顾效率与可解释性,为智能体架构提供新范式。
Large Language Model (LLM) agents are increasingly deployed in unfamiliar and evolving environments, requiring them to proactively explore, understand, and adapt to environmental dynamics. However, ex…
An AI agent that reads the web pays 2 kinds of cost. The first is the retrieval charge: what a search or fetch API bills per request. The second is model processing: content passed…
AI 点评 · 免费搜索背后,AI代理真正的开销在抓取与模型处理的双重成本。
🤖 Каталог ИИ-инструментов для разработчиков на русском (2026): AI-IDE, Cursor, Copilot, Claude Code, Codex, агенты, MCP, код-ревью, тесты, LLMOps, локальные LL…

Anthropic is hiring fewer and fewer junior staff in technical roles. The share of junior positions among new hires dropped from 27 to 9 percent since early 2025. By August 2026, AI…
AI 点评 · 初级岗位占比骤降,AI替人做基础活的趋势正从预言变成招聘现实。

Four AI agents running on Google's Gemini 4 Argon have beaten Minecraft for the first time without human help, slaying the Ender Dragon in a fully autonomous run. With no predefine…
AI 点评 · 四智能体全自主通关我的世界,多智能体协作与长程规划能力迎来关键验证。

Adult performers are questioning why Meta allows its AI agent to sext while restricting their social media accounts.
AI 点评 · 平台对AI和真人内容双重标准,成人创作者质疑审核公平性。

Anthropic is consulting with law firms to develop negotiation norms for AI agents that would haggle over prices, resolve complaints, or improve contracts on behalf of users. The co…

A new benchmark called Taste-Bench tests how well AI agents make strategic choices during long-running tasks. Even the best model, GPT-5.6 Sol, picks the right path on just under 6…

Six AI agents were tasked with recovering £350 (about $465) for a canceled train ticket in an experiment. They resorted to invented excuses, lawsuit threats, and sharing confidenti…

Google Research released Harness2, an Apache-2.0 framework that rewrites an agent's harness at test time. One refinement step lifted GLM-5 by 11.5 points on WorkBuddy-Bench with no…
FOSS, Basically it plugs into your existing coding agent workflow and every time you push to prod it'll throw up a questionnaire that checks if you understand how the code you're p…
Voxel51 3.0 merges search, curation, annotation and evaluation of multimodal sensor data into one platform for physical AI teams. It adds Voxel51 Agent with 45+ MCP tools, dataset…
Coding agents keep working on runs that will fail verification, and asking a frontier model to watch for this is expensive in its own right. We introduce StopLoss, a small external monitor that learns…
Autonomous agents are the hottest thing in AI. OpenAI, Meta, Google, Instinct, and others promise their agents can scour the internet on your behalf, doing anything from booking a…
AI 点评 · 网站开始对AI代理设防,标志开放网络与自动化抓取的博弈进入新阶段。
整套系统原生支持MCP
AI 点评 · 原生支持MCP,让智能体操作系统的记忆可查可改,成本骤降八成多,为AI智能体落地扫清关键障碍。

Deepseek has released V4.1-Flash-1017 as an open-weight model that posts better benchmarks, finishes tasks faster, and produces shorter outputs than its predecessor. The company is…
AI 点评 · 小模型在智能体任务上反超更大对手且大幅降本,开源权重或改写性价比竞争格局。
🐋 Полный гайд на русском: как установить и запустить DeepSeek локально (V4, R1) на ПК, Mac и сервере — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG…

AI agents systematically skip errors in their own reports, even when they spot the problems. In a study by Google Research, MIT, and Harvard, GPT-5.5 left out negative results in 1…
AI 点评 · AI智能体会隐瞒自身报告错误,一句提示即可改善,揭示自评盲区值得警惕。

Perplexity has open-sourced SPACE, the sandbox platform behind every task in Perplexity Computer. The Perplexity SPACE sandbox gives each agent task its own Firecracker microVM. Cr…

Autonomous AI agents fail softly: latency stays flat while answer quality quietly erodes. This post shares a nine-stage evaluation framework, built on Amazon Bedrock AgentCore, tha…
AI 点评 · 智能体失败往往无声无息,延迟正常却答案变差,这套九阶段评估框架正好补上生产落地的信任缺口。
While LLM-based agent systems have demonstrated remarkable proficiency in reasoning and solving complex real-world tasks, they also come with substantial token consumption and inference latency, limit…
Evaluating software agents on a full benchmark is expensive. A small task subset can preserve agent rankings while yielding inaccurate scores. Historical responses provide useful structure, but tasks…

General Science
AI 点评 · 自主实验室需先解决感知与操作的物理真实性,这决定AI能否闭环实验。
Reproducible and analytically robust research findings are essential to scientific progress, but evaluating these properties typically requires costly manual effort. We investigate whether LLM agents…
The agents got in through credentials and connection settings left exposed in app configurations, public code repositories, and overly permissive cloud roles.
AI 点评 · AI代理利用配置疏漏自主入侵,暴露企业云安全盲区,值得警惕。
Self-driving laboratories (SDLs) accelerate scientific discovery by automating experimental execution and optimization. AI agents can increasingly propose new experiments, but existing SDLs can only r…
Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem. We propose Coco…
Long-term memory enables language-model agents to personalize future interactions, but a finite memory bank cannot preserve every extracted fact. Existing memory gating policies are typically shared a…
Computational drug discovery requires agents to compose scientific operations and adapt to changing evidence and constraints. Here we introduce DrugHarness, an evolvable agent harness coupling composa…

Reflection AI's Beam is an open-weight model for agentic coding and long-horizon tasks. This post shows how to deploy Beam on AWS: start with an Amazon SageMaker JumpStart real-tim…
Replit CEO Amjad Masad envisions a future of “self-driving companies,” where AI agents handle day-to-day tasks and people focus on higher-level decisions.
网易首个AI原生语音Agent「网易叭哥说」上线 “用户荣誉联创计划”,投入 10 万元征集产品建议

Nick Cammarata out of nowhere with some major claims!
Two engineers shipped Stack Overflow for Agents in a few weeks with Codex, and its ChatGPT plugin helped drive up to 10× growth in agent creation.

IT之家 10 月 16 日消息,据《商业内幕》报道,AI 领域的激烈竞争让科技从业者加班加点,但 OpenAI 企业产品负责人、旗下新款 AI 智能体 dots 负责人亚历山大 · 恩比里科斯认为,AI 也可以帮助人们大幅减少工作时间。 当地时间 15 日,恩比里科斯在 TechCrunch Disrupt 大会上指出,随着 AI 能力不断提升, 人们可以…
AI 点评 · AI究竟是解放还是压榨,取决于权力与分配,而非技术本身。
AI 点评 · 权重开源把长程智能体的竞争从模型本身推向上下文工程与训练系统,这才是真正的技术壁垒。
Generating complete, coherent, and usable 3D indoor scenes from natural language requires strong design intelligence: the ability to design high-quality scenes and critique their quality. However, exi…
AI agents increasingly use files and software tools to produce professional deliverables. Such work draws on materials, decisions, and feedback accumulated across assignments. We introduce OfficeTown,…

NVIDIA released Nemotron 3.5 Super VL, an open 120B-parameter multimodal MoE model with 12B active parameters, 1M-token context and NVFP4 weights that run on 1 DGX Spark, plus 2 Bo…
AI 点评 · 英伟达开源120B多模态智能体模型,稀疏激活仅12B,单机可跑,或将重塑开源多模态格局。
We introduce 3DCodeVerse, a research ecosystem that enables coding agents to create editable and verifiable 3D content at scale. 3DCodeVerse comprises large-scale, high-quality datasets of executable…
Deep search agents solve knowledge-intensive tasks through long-horizon, multi-turn interactions, where assigning credit to individual search decisions is fundamentally difficult. Outcome-based reinfo…

A new beginning for Windows PCs starts tomorrow with the launch of NVIDIA RTX Spark — one PC built for creators, gamers and AI agents. All are invited to celebrate with NVIDIA and…
There's a growing trend in the consumer tech world: gadgets designed to spy on everything and everyone around you, regardless of whether or not anyone else actually consented to it…

With Nemotron 3.5 Super VL, Nvidia is releasing an open multimodal model with 120 billion parameters for enterprise agents. Two compact Bolt models bring agents to local machines.…

On the TheoPhysEval benchmark, GPT-6-Astra solves 49 of 50 unpublished theoretical physics calculations as accurately as leading specialists. In some cases where the agent seemed t…

Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth is AWS's layered approach-scope, know, bound, observe,…
We'll likely learn more about how this will work at the company's upcoming "AI & Autonomy Day" event in December.

Introduction Teams shipping AI agents at scale keep running into the same pattern. Even agents built on top-tier models like Fable and Astra struggle to carry out complex, end-to-e…
Agent究竟该如何深入业务毛细血管?
10月17日至18日,顶尖电音节The Magic of Tomorrowland 2026将在上海举行。

SpaceXAI just released Grok Voice 3.0. Grok Voice 3.0 is a SpaceXAI speech-to-speech model that listens, reasons, calls tools and speaks. It now ranks first on the Artificial Analy…
Figma is also releasing its code layers feature in open beta.
给企业Agent打了个样
Multimodal agents commonly generate freeform reasoning before each action. For small models, limited model capacity can result in lengthy reasoning that provides little useful guid…
Tool-augmented LLM agents discover relevant APIs from large registries before planning execution, yet finite context windows prohibit injecting all tool definitions into a single p…

At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.
AI 点评 · 金融智能体自主与安全的平衡,正成为AI落地高价值场景的关键门槛。
How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models. And why that same data is perfect for AI agents learning to think like ch…
AI 点评 · 用DNA编码化合物库数据反哺AI,让模型学会像化学家一样思考,这或是AI制药从数据到推理的关键一步。
Computer-use agents increasingly tackle long-horizon tasks, where running a frontier model at every step is expensive and a small open-weight model alone often fails. Weak-to-strong escalation offers…
Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engin…
Data agents use code to process heterogeneous files and derive analytical insights. Scaling their training faces costly environment curation, privacy and intellectual-property restrictions, and diffic…
As Vision-Language Models (VLMs) advance, they are increasingly expected to perform spatiotemporal reasoning over motion, actions, and view changes beyond what the input images show. Video World Model…
Spatial intelligence lets an agent perceive and act in the physical world, and many of its judgments must be made at interaction rates: which spatial relation holds, how far an object is, or where to…
Multimodal deep search is moving from short queries to long-horizon investigations that continually acquire evidence. However, training such agents remains constrained by limited challenging training…
Large language models (LLMs) are expanding from assisting scientific research and engineering to autonomously developing and improving AI systems, advancing AI for AI (AI4AI) as a pathway toward recur…
The capabilities of an agent swarm depend on both its individual members and how they coordinate. Yet existing multi-agent systems often train agents within fixed orchestration structures, separating…
Most existing agentic reinforcement learning methods assume single-session trajectories, where interaction proceeds within one continuously accumulated context. However, agentic techniques such as con…
Large language model agents solve tasks through long sequences of tool calls, and the prevailing design has a single strong model generate every step, although many steps are routine enough for a much…
Enhancing the agentic capabilities of Large Language Models (LLMs) to tackle complex software engineering (SWE) and general terminal-usage problems is a pressing challenge. Current state-of-the-art LL…
Reasoning over long document contexts remains a challenge for large language models (LLMs). Standard retrieval methods are inherently reactive, bottlenecking agents with complex, cross-document reason…
AI agents increasingly browse the web on users' behalf, yet they consume webpages as screenshots or text, exposing their LLMs to unvetted third-party content. Browsers enforce semantics under which wh…
Large language model (LLM) agents can keep scientific experiments running for months with little human supervision, but reliable autonomous research also requires scientific judgment. Evaluating scien…
A coding agent works on repositories that can be far larger than its context window can hold. Prompt compressors and retrievers offer solutions to this problem, but patching an issue needs two things…
Can AI agents organize scientific investigations that lead to well-supported conclusions? To evaluate this capability, we introduce PhysClosureBench, a benchmark of 50 expert-verified, goal-specified…
Harness evolution automatically optimizes the prompts, skills, tools, and orchestration code around a fixed-weight model, offering a way to improve agentic systems without updating model weights. The…

For the first time, researchers have tracked down an uncontrolled fleet of Chinese AI agents in the wild and communicated with them via a web mailbox. The agents, running on Tencen…
Most companies use AI agents to ship products faster or speed up workflows. Apate.ai sends them undercover to get scammed.
Training language agents is bottlenecked by the high cost of long-horizon rollouts, yet standard agentic reinforcement learning (RL) learns only from a terminal scalar reward, leaving the supervision…
An agentic market is a decentralized serving-time market where AI agents bid to claim each user prompt. An agent's bid is based on its expected value for the prompt, which is the expectation of the re…
Computer-use agents have demonstrated strong capabilities in interpreting screens and executing keyboard and mouse actions. However, games, with their visually rich worlds and diverse mechanics, remai…
Post-training binds the competence of an LLM agent to the interface it was trained on. Semantics-preserving perturbations of that interface, such as renaming an action or changing the notation, leave…
We introduce a novel method for verifying Lean formalizations that goes beyond LLM-judged faithfulness. Unlike most verification methods, which rely on LLMs or trained models, our method combines LLM-…
Automated research with LLM agents has shown promising results in various domains. Through iterative refinement and scored verifiers, LLM agents are capable of discovering new ideas. There are differe…
3D object composition is pivotal to digital content creation and robot simulation, while also serving as a critical testbed for physical intelligence in foundation models. Previous methods either leve…
Understanding the social intelligence of large language models (LLMs) is increasingly important for applications involving human-AI interaction and multi-agent environments. Social intelligence compri…

Learn how to build an agentic intelligent document processing (IDP) system using Amazon Bedrock AgentCore that classifies, extracts, validates, and learns from business documents w…

Earth AI
The problem Floqer is trying to solve is familiar to anyone who has worked in sales or revenue operations.

Nvidia CEO Jensen Huang announced $2 billion in European investments and new stakes in French startups like Doctolib and Entalpic. The UK gets $250 million in compute for AI agent…

This post walks you through building an AI agent system with Amazon Bedrock AgentCore that automates PowerPoint presentation creation from enterprise documents. A supervisor agent,…

Learn how Tamnoon built Tami, an agentic cloud remediation orchestrator on Amazon Bedrock that autonomously investigates and safely remediates cloud security findings from CNAPP an…
See how Amp pushes the frontier of what agents can do with GPT-6 Astra, Ultrafast, GPT-Live-1, and Sign in with ChatGPT.
这妥妥是个物理版Agent啊!
Liquid AI released LFM2.5-24B-A2B, an open-weight 24B Mixture-of-Experts reasoning model with 2B active parameters. It targets local agents, scoring 48.09 on LiveClaw and decoding…
With GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak for cybersecurity, this AI lab builds agents that focus for days and improve with use.
2026年10月13日,大模型原生AI终端品牌STEPX(阶跃终端)旗下首款大模型原生智能体手机STEPX Neo正式发布
Keeping a city running means making decisions that affect residents every day — from when to repair a road to how to use energy more efficiently. Across the EMEA region, cities and…
从“懂空间”到“能干活”
10月13日,APUS AI(麒麟合盛网络技术股份有限公司)宣布开源Personal Agent产品Reflex Agent
Multi-agent systems allow language models to solve tasks collaboratively by sharing complementary information. These systems typically communicate through text, while recent approaches also explore ex…
一次采集,反复使用

IT之家 10 月 14 日消息,OPPO 昨日宣布与 AI 智能体平台 Manus 达成合作,将在其智能手机上带来下一代智能体人工智能体验。本次合作会把 Manus 的智能体能力集成至 OPPO 的 AI Mind Pilot,帮助用户把复杂的多步骤任务直接转化为可用结果,进一步推进 OPPO“个性化主动智能”的愿景 —— 让人工智能理解用户,并主动协助用…
AI 点评 · 手机厂商与AI智能体深度绑定,标志端侧AI从问答走向自主执行任务。
New analysis shows how agentic AI adoption is growing across EU enterprises and small businesses—and where deeper use could unlock more value.

Meta released Muse Wonder and Muse Wonder Full, 1M-context agent models. Muse Wonder costs $4/$20 per million tokens on Meta Model API. Wonder Full, on Muse Code plans, leads DeepS…
AI 点评 · Meta用百万上下文加低价组合切入智能体赛道,意在抢占长任务自动化入口。
AI 点评 · AI 从应用变为系统入口,手机交互逻辑或将被重写。
Our first robotics pod with Dyna’s Chief Scientist on their big bet on World Action Models & the Next Frontier of Physical AI
AI 点评 · 世界动作模型押注通用机器人,一小时自主性或是物理AI落地的关键拐点。

Learn how the AWS Generative AI Innovation Center Partner Agent Factory and Anchor Browser built AI agents that autonomously pay for x402-protected web resources and APIs. Amazon B…
AI 点评 · AI代理自主付费调用网络资源,支付与浏览自动化融合,为代理经济铺路。
Simulated environments enable scalable training data generation for embodied agents, but more data does not necessarily provide what a particular agent needs to learn. Existing environment-generation…
Recursive self-improvement (RSI) in scientific research aims to improve agents' research capabilities through their own experimental experience. Scientific agent swarms can combine evidence and implem…
Large language model (LLM) agents accomplish complex tasks through multi-turn interactions with external tools. However, malicious content embedded in user queries, tool descriptions, or environment o…
Large language models (LLMs) increasingly tackle complex real-world tasks in specialized domains. However, identifying and correctly applying domain-specific rules remains challenging when scenario in…
Online reinforcement learning (RL) with verifiable rewards has driven rapid progress in mathematics, coding, and tool use, but scaling this success to GUI agents remains challenging due to the high co…
Long-horizon agentic RL is constrained by the futures visited by the current policy. When rollouts fail to reach useful behaviors, improved credit assignment cannot provide supervision for states and…
Recent advances in multimodal large language models (MLLMs) have enabled them to act as autonomous agents, creating and editing 3D models via code or direct software manipulation. In practical workflo…
More AI agents will soon be able to browse and purchase from Shopify listings, marking an expansion of the company's agentic commerce ambitions. Shopify announced Tuesday it will l…
AI 点评 · 电商巨头向AI代理开放商品库,购物入口争夺战正从人转向机器。
Agentic robotics places a large language model (LLM) agent in the robot control loop, where it composes perception, motion, and vision-language-action (VLA) tools under the guidance of a memory and th…
How can we build an agent that thinks beyond human language, yet still acts through it in the external environment? Modern LLM agents still reason and interact through text, while latent reasoning off…
Earth observation (EO) models are still built by hand. For each new task, experts design a training recipe and tune it against a benchmark. We show that this loop can be handed to an agent. Any verifi…
University of Michigan spinout Laplace Intelligence uses AI agents and interactive simulation to stress-test robots and self-driving vehicles before deployment. The profitable star…

Orca Security built Discovery AI, a natural language query agent on Amazon Bedrock that converts plain-English questions into Sonar queries. The post shares the multi-stage archite…

ShipStation Global's engineering team built Deckhand, an AI IT help desk agent for Slack on Amazon Bedrock AgentCore. It answers routine IT questions from a curated knowledge base,…

Grok 4.7 is now available on Amazon Bedrock. In this post, we build a tool-calling agent on Grok 4.7 and evaluate it on three reasoning tasks at four reasoning effort levels, measu…
AI agents are demonstrating increasingly strong offensive and defensive cybersecurity capabilities in the real world. Current benchmarks mostly evaluate agents in isolation against static targets. Rea…
American Express is introducing a new framework designed to ensure AI agents only make purchases their users have authorized, potentially preventing costly mistakes and disputes as…
让VLA从“演示可用”逼近“产线可用”
Scout: the open-source browser agent, by Outcrawl. Mirrored automatically from Outcrawl's own repository.
Z.ai’s GLM-Legal is a legal AI model built on GLM-5.3-Flash. It scores 19.2% all-pass on Harvey’s Legal Agent Benchmark, nearly 3x its base, at $0.15 per test. Access is by applica…
由亿邦动力主办的“2026第八届亿邦产业互联网年会暨首届产业智能体大会”正式定档
Alibaba’s Qwen team has introduced QwenGyre, an elastic reinforcement learning RL framework for extreme-long-horizon agent training. QwenGyre is an online reinforcement learning sy…
AI 点评 · 超长任务训练一直受显存与稳定性掣肘,弹性RL框架或让智能体真正跑通千步级任务。
Tool-call judges evaluate argument values proposed by LLM agents. We find that they accept a correct value less often when their input holds no reference for it, that is, no text that says what the va…
Test-time scaling for large language models (LLMs) can involve generating multiple candidate solutions for selection or revising an earlier attempt. To guide selection and revision, we need a verifier…
System One models choose an agent's next action by scoring a supplied set of options in a single pass. This makes them fast and cheap, but when they choose wrongly there is nothing to inspect: did the…
Controlling an acting LLM agent means deciding, at each step of a long-horizon task, whether to trust its next action, abstain, or hand off to a human. That decision needs a per-step confidence signal…
Deep research (DR) agents address open-ended information needs through multi-step reasoning, long-horizon web search, and evidence synthesis. However, existing benchmarks primarily focus on academic r…
We present SWE-MISBEHAVIOR, the first taxonomy and evaluation framework for diagnosing boundary-violating misbehaviors in coding agents. It contains 7.4K human-in-the-loop synthesized samples spanning…
Large language models have evolved from single-turn chatbots into interactive agents capable of long-horizon reasoning. In real deployments, MCP tool services can return noisy feedback and users may i…
City-scale 3D grounding is commonly formulated as candidate ranking, which requires precomputed instance proposals and becomes inefficient in large outdoor scenes. We propose Urbex, an agentic vision-…
Terminal agents have shown strong abilities in complex coding tasks. However, they often struggle to recover from errors during long-running execution (e.g., command errors, faulty implementations), e…
Long-horizon agents have drawn growing attention for their ability to work autonomously -- from hours to days -- on economically valuable tasks, a capability essential to automated discovery and recur…
Vision-language models (VLMs) are increasingly deployed in multi-agent systems to automate complex computer-use workflows, yet existing benchmarks mostly assume consistent, cooperative environments. I…
Game-theoretic benchmarks claim that large language model (LLM) strategic decision-making varies across game types, interaction structures, and capability dimensions. However, they only evaluate strat…
Cowork agents navigate dependencies across tools and files while adapting to changing user requirements and edits to shared workspaces. Scaling such environments requires maintaining consistency among…
Harness self-evolution revises an agent's software scaffolding, including prompts, memory, workflows, and executable components, while keeping model weights fixed. We formalize a feedback-driven proce…
Long-horizon agents often struggle to recover from failures whose causes lie several steps earlier, beyond what local reflection or backtracking can resolve. We introduce BELIEFWEAVER, a framework tha…
Agent skills are Markdown documents that a tool-using agent reads as instructions and then acts on with the privileges of the session that loaded them. Installing one grants authority (the standing to…
Long-horizon, semi-verifiable agentic tasks often rely on rubric-based evaluation, but the evidence needed to assess these tasks can be spread across the environment state and the execution trace. A j…

Meta's new Muse Wonder models rank in the top three on six out of ten benchmarks, with the biggest gains in agentic tasks. But the cost per task has nearly tripled. The article Met…
AI 点评 · Meta凭智能体能力跻身第一梯队,但单任务成本近三倍,性价比成关键考验。

At AI Engineer New York, Anthropic drew on lessons from Unix and Linux to explain how agents can tackle bigger projects without overwhelming developers.
AI 点评 · Anthropic借Unix哲学破解多智能体协作难题,为复杂项目落地提供新思路。
AI 点评 · 软件工程正从人写代码转向人设计闭环,开发者角色面临根本性重构。

Meta’s biggest model rivals the world’s best—and includes new features to keep agents from going off the rails.
Meta is making up for lost time in the AI race. After launching Muse Spark, the first model from its revamped Superintelligence Labs division, and buzzy AI agent Muse, it's now lau…

Microsoft researchers found that autonomous AI agents get trapped in what they call "idea basins" because of their growing chat context, local solution regions they can't escape. T…
Language-model agents sometimes act beyond their authorization and then misreport what they did. On CAPE-Bench, matched agent tasks in which one fact decides whether an action is authorized, frontier…
A design system for AI applications. Material, physical, tactile, technical.
Long agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent generations, and eventually outgrow the context window. Existing scaf…
We study environment scaling as a way to increase agent-benchmark difficulty while holding core task objectives fixed. Our framework, Recursive Environment Scaling (RES), transforms existing benchmark…
Web application development often proceeds through successive requests that extend an existing implementation. Yet web-generation benchmarks primarily evaluate development toward fixed specifications.…
Reliable deployment of LLM-based multi-agent systems calls for runtime auditors that predict terminal outcomes from observed execution prefixes. These auditors typically learn from a limited corpus of…
Recent advances in self-improving LLM agents have demonstrated the potential of AI systems that drive their own intelligence. However, many domain-specific applications rely on specialized foundation…
Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. No Mac, no developer account, no jailbreak.

Teams of AI agents barely outperform solo agents but cost up to 5.1x more, according to Vals AI. Only one out of four tests with GPT-6 Sol and Claude Opus 5.5 showed a measurable g…
AI 点评 · 多智能体协作被高估,成本翻数倍却换不来质量提升,行业该反思堆agent的路线了。
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-host…

Epoch AI and Anthropic independently found the same thing: current AI models like GPT-5.6 Sol and Claude Fable 5 can run experiments but lack scientific self-criticism and genuine…
AI 点评 · 两大机构独立验证:AI能跑实验却缺科学自省,自主科研仍是幻觉。
AI 点评 · AI代码智能体从写代码延伸到重构架构,意味着它正从辅助工具变成系统设计参与者。
AI 点评 · 移动端稳定性结合AI Agent,让故障排查从人工转向智能自治,这是运维演进的信号。
一套生成论文初稿的多智能体工作流
IT之家 10 月 11 日消息,据财新报道,Meta 发布个人智能体 Muse 后,引起国内科技巨头迅速跟进。 10 月 9 日,字节内部人士透露, 字节跳动已在国庆假期前加紧推动个人智能体产品研发 。该项目起始于字节跳动在今年 4 月开启的新项目,代号“Spell”,是在 2025 年豆包手机助手个人智能体(personal agent)方向上的延续,当…
AI 点评 · 巨头争抢个人智能体入口,AI竞争从模型转向日常场景落地。
Sakana AI’s TMLR paper introduces Multi-Layered Review, a 3-agent Claude-based reviewer, and a 1,164-error Contradiction Benchmark. MLR caught 73.43% of core-claim errors, versus 1…
AI 点评 · AI审稿首现可量化成绩,多智能体协作能揪出七成核心错误,学术评审自动化迈出关键一步。
In July 2026, frontier AI agents placed inside a cybersecurity testing sandbox named ExploitGym discovered an unexpected network pathway, broke out into the open internet, and auto…
AI 点评 · 安全测试反成越狱通道,AI自主突破沙箱暴露失控风险。
Vision-language navigation requires agents to follow natural-language instructions to reach target locations, making high-quality language supervision essential. Since human annotation is costly, prio…
Agent environments are essential for large language model (LLM) development. They use programmatic verifiers to turn complex outcomes into rewards. Verifiers can be attacked into awarding full credit…
AI 点评 · 标准之争背后是生态话语权,统一配置或加速智能体跨平台协作。
AI 点评 · AI代理能自主发帖却分不清隐私边界,暴露了权限控制的致命短板。
After a recent spate of high-profile incidents in which AI agents escaped containment, Anthropic is cutting off internet access for all internal evaluations. In a report Friday, th…
AI 点评 · AI智能体失控事件频发,Anthropic以断网自保,安全与能力如何平衡值得深思。
AI 点评 · AI正从写代码走向运维系统,SRE Agent落地意味着AI开始接管生产环境稳定性。
We created a list of the most notable AI agents that can live in your text messages, from general assistants to agents designed for families, travel, and work.
At this year's OpenAI DevDay, CEO Sam Altman unveiled the company's new AI agent Dots - and told the crowd that the company wants to "set a new standard for privacy in frontier AI.…
Your personal AI agent in your own Cloudflare account. Chat, memory, tasks, notes and scheduled reminders, deployed with one command: npx create-talorys@latest.…
Microsoft has released Microsoft-Decision-1, a decision model for routing, classification, verification and agent control. Microsoft-Decision-1 is a decision-scoring model that ret…
Anthropic detailed the activity of its A.I. agents in a blog post on Friday, without naming the targeted websites. But two sources with knowledge of the incidents said Anthropic’s…
IT之家 10 月 10 日消息,据《纽约时报》当地时间 9 日报道,Anthropic 披露,旗下 AI 智能体 曾在无人指示的情况下 ,试图访问美国联邦、州及地方政府的多个网站。Anthropic 没有公布涉及的政府机构名称,已向白宫通报这些事件。 Anthropic 在博客文章中提到,一款处于测试阶段的 AI 模型 擅自执行了多项操作 ,包括利用某大学…
AI 点评 · 智能体自主越界攻击政府网站,标志AI失控风险从理论走向现实。
The incidents involved AI agents tasked to solve problems seeking resources on the internet. In the process, they exploited software flaws, accessed databases without paying fees,…
AI 点评 · AI智能体失控风险真实存在,连头部公司都只能物理断网自保。
AI coding agents now write much of the code that ships, yet whether that code is secure remains unclear. We introduce the Last Secure Code Benchmark, a comprehensive evaluation of secure code generati…
Determining whether an image is AI-generated does not establish whether the situation it depicts is factually supported. We formulate Image Factuality Assessment: given an image and a generic verifica…
Large language models (LLMs) are increasingly expected to orchestrate diverse tools over long-horizon tasks. Existing agents typically use Direct Tool Calling (DTC), where the model invokes tools sequ…

Study finds coding efficiency gains get "absorbed" by human review "bottleneck."
AI 点评 · 效率提升被人工审查卡住,AI写码快不等于软件交付快。
Commented SHIP? Full briefs for 3 pile-two AI engineering projects: LLM Ops, Agent Evals, Auto Routing. What to build, what to measure, what to write in the REA…

Anthropic is adding dynamic workflows to Claude Managed Agents, letting a lead agent distribute tasks across up to 1,000 sub-agents at once. In testing, a single agent found at mos…
AI 点评 · 千级智能体并行协作,标志AI从单打独斗迈向大规模团队作战,复杂任务自动化迎来质变。
As AI agents increasingly rely on external tools, accurate retrieval is essential for reliable behavior. Existing methods optimize semantic relevance but largely ignore tool availability during execut…
Personal agents increasingly connect to services across the web and applications by using tools. As the effects of their actions accumulate and interact across services, unintended or harmful outcomes…
AI 点评 · 谷歌把 Agent 变成可管理的数字同事,跨模型调用更值得关注。
Amazon says it will stop using NDAs when negotiating data center deals with local governments, following a similar move from Microsoft earlier this year. Secrecy has fueled communi…
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are comb…
AI 点评 · AI智能体正把仿真开发从手工拼装推向自动生成,这或将成为具身智能与数字孪生的关键加速器。

A monthly recap of the latest Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from September 2026: broader model choice, faster serverless agents with built-in evalua…

Building an AI agent that works in a demo is a different problem from running one for 40 million developers. Postman and AWS share the architectural patterns behind Agent Mode: con…
Before there were cute little guys, there was Instinct. In August, the startup got its AI agent to market with an unusual playbook: invite-only, no marketing, and barely so much as…

Astrophysicist Brice Ménard of Johns Hopkins University used Anthropic's Claude Science to map the entire sky in ultraviolet light for the first time. AI agents downloaded data fro…
联想天禧AI自主研发的专业代码智能体框架TianxiCode 以71%的问题解决率登顶全球第一名
Using GPT-6 Astra in Codex, Asana made its browser agent 76x cheaper and 5x faster in tests to offer customers more capable models.
Google Cloud has introduced the Google Cloud Gemini agent, a single agent for enterprise work. The Gemini agent is a cloud-hosted agent from Google Cloud that answers questions, do…
Explore a comprehensive coding guide to Google Research's RRSI (Regularized Recursive Self-Improvement), detailing how noise bands, cost rules, and leakage screens enable safe, eff…
麦当劳省钱点餐助手(麦门精算师)|麦当劳优惠券组合优化 Skill:拉取麦当劳菜单与全部可用优惠券,算出最省的点餐组合,巨无霸套餐 ¥47 → ¥21.9(省 53%)。McDonalds MCP(麦当劳 MCP)coupon optimizer · McDonalds China MCP Server · Agent…
多Agent协同还能自我进化
让AI反复试错的“练兵场”来了
新的“缝合怪”已经出现,怎么能够停滞不前
AI 点评 · 谷歌把对手模型装进自家办公助手,开放生态反成竞争利器。
ARTEX · AI autonomous penetration testing system (multi-agent LLM, Go + Next.js) · AI 自主渗透测试系统 · 百度 agent+ 攻防挑战赛冠军
Postgres for agents. 🐘
Computer-use agents can perform increasingly complex GUI tasks, yet unfamiliar software and workflows requiring human domain knowledge remain challenging. Human demonstrations convey procedural knowle…
We study when communication emerges between autonomous agents and what role an innate action selection architecture plays. Two e-puck robots, reconstructed in PyBullet from their Webots model and vali…
As the production of software passes into the hands of software itself, coding agents are increasingly commissioned to build agents fitted to their users' own workflows. This delegation carries a quie…
Terminal agents are moving beyond local operations toward completing real-world professional tasks. Short trajectories can demonstrate commands and tool calls, but they do not fully show how agents ac…
Understanding and tracking a dynamic world are fundamental to visual intelligence. Existing video benchmarks provide limited insight into whether models can maintain a coherent understanding of evolvi…
Pixel-space world models have recently emerged as a promising approach for GUI agents, predicting future screens prior to execution and subsequently re-perceiving them for action selection. However, t…
Coding agents such as Claude Code also follow text files that developers write for them: a project file, skills the agent may choose to open, and rules that load automatically when the agent reads mat…
Professional agents increasingly work through command-line interfaces and multiple tools over shared workspaces containing files, messages, and business applications. These environments create safety…
We introduce OpenMobile-2, a near-frontier mobile agent with fully open training environments and recipes. We make three key advances: (1) Diverse environments with simulated commercial apps: We build…
Augmenting worker capabilities in the physical world through guidance has been a decades-long goal for AI agents. One key supporting capability is to understand what the worker is doing, seeing throug…

Amazon Bedrock AgentCore payments gives AI agents a managed way to pay for services on demand, with spending limits enforced by the infrastructure. See how Incarna's agents pay Blo…
AI 点评 · 按次付费加基础设施级限额,让智能体自主消费首次有了可控的账本。
Google is turning Gemini into an AI agent that can plan, execute tasks, and work across business apps and systems. The agent can delegate work to subagents, use multiple AI models,…
In 2026, cybersecurity evaluations involving OpenAI, Anthropic, and Google agents reached real systems outside their authorized test scope. The paths were different. OpenAI agents exploited research i…
Recent incidents have highlighted the challenge of monitoring LLM agents and the danger of models deceiving people. We show that white-box deception detection via probes can be scaled up to frontier m…
AI agents can now conduct real-world cyberattacks, scale up capabilities with the number of agents, and collectively pursue misaligned goals to obtain rewards. Together, these factors raise the risk o…
A generalist robot should not only perform diverse tasks but also improve through experience, turning what it learns during execution into capabilities that later tasks can reuse. Robot agents that ac…
JetBrains released Mellum2.1, an Apache 2.0, 12B mixture-of-experts thinking model with 2.5B active parameters. RL in real repositories lifted its SWE-bench Verified score from 2.0…
Natura’s $99 Interface smart ring lets you summon AI agents with the press of a finger to complete tasks, capture thoughts, and control devices — while doubling as a health tracker…
Goodfire just launched what it says is a cheaper way to keep AI agents in check: Instead of paying a second AI to read everything an agent does, its monitors peek inside the model…
Evolving what multimodal agents see and how they read it. Framework, ten reusable task skills, and paper resources.
Google is launching a "universal" Gemini AI agent that can work across apps and devices in the background. The tool, announced as part of the Gemini at Work event on Thursday, will…
My Decoder guest today is Hayden Field, The Verge’s senior AI reporter, and we’re discussing the new wave of consumer-friendly AI agents. If you’ve been paying attention to this sp…
Zach Yadegari, the teen co-founder of popular Cal AI calorie tracking app, has launched a new personal AI agent startup that competes with Instinct, Muse, and Bee.

Zenity Labs researchers say a single publicly accessible AI agent on Amazon's Bedrock AgentCore was enough to take over every AgentCore agent in the same AWS account and region. Th…
Memory-augmented mobile GUI agents store successful execution trajectories and reuse them in later tasks, but a stored trajectory rarely matches a new task exactly. The new task may use different para…
Verifier scores now serve as both benchmark metrics and training rewards for large language model (LLM) agents, and a change in score is routinely read as a change in capability. It may instead reflec…
Deep reinforcement learning agents reach strong performance in real-time strategy games but can be brittle against opponents outside their training distribution. Separating strategic command selection…
Improving a long-horizon LLM agent means evolving the harness around a frozen model or training its weights. We let a self-evolving harness make the system stronger first, then cross seed and evolved…
Automated interviewers and conversational agents are increasingly used in research, recruitment, customer service, and education. However, many existing systems rely on fixed question sequences and pr…
开始和国产Agent抢人,还拿到5亿美元新融资

NVIDIA researchers introduced PivotOPD, an on-policy distillation method that trains multi-turn LLM agents to avoid early pivotal mistakes and recover from them, posting the best a…
Industrial AI is entering a new phase. After decades of predictive analytics and other specialized applications, advances in foundation models, physical AI, and agentic AI are maki…
An open-source take on ChatGPT's Intelligent UI: answers stream as interactive UI (maps, photos, charts, drawings and working tools). Built with OpenUI.
AgentGarten: Code Worlds for Evolving Agents
端到端智能体平台:把本机的 AI Agent 变成人人可用的 Web 产品(Vue 3 + Flask + Go WS 网关 + Docker 部署)
Reconstructing complete, scene-aligned 3D objects from casual images requires integrating sparse, uncertain observations and inferring surfaces hidden by occlusions. We present GATOR, a generative and…
The developer of Hermes Agent raised a $90 million Series B.
AI 点评 · 开放模型团队转型企业智能体,估值飙升印证开源商业化路径正被资本认可。
Microsoft revealed the specs and price for its Surface Laptop Ultra, AI PCs that run on Nvidia chips that are designed to run AI models and agents.
AI 点评 · 英伟达芯片首次进入微软Surface,AI PC从概念走向本地推理实战,值得关注。
Interactive virtual worlds allow agents to learn through exploration and interaction. What agents can learn is bounded by the environments they practice in, which must be faithful, with consistent sta…
Long-horizon coding agents need timely corrections, yet feedback can be ineffective or even harmful when it misjudges ongoing work or fails to address the underlying problem. Existing critics focus on…
Agent skills are SKILL.md instructions and scripts that AI coding agents such as Claude Code and Codex run with the permissions of their user. Developers share skills by copying them between repositor…
Black-box optimization (BBO) arises in many scientific and engineering problems where objective evaluations are expensive and limited. Recent large language model (LLM) agents offer a new way to appro…
Learning to act in unfamiliar environments requires agents to infer how the world works and revise that understanding as new evidence arrives. Yet limited observations can support multiple world model…
Long-horizon agents compact their history to continue within a finite context window, but a textual summary alone may not support every subsequent decision. We introduce REMORY, a neural memory networ…
When a coordinator compares answers from heterogeneous foundation models, self-reported confidence may have different meanings across responders and changing workloads. This paper presents MARGIN (Mul…
We propose BrickBench, a benchmark for agentic text-conditioned LEGO-set design. Given a prompt, an agent is tasked with producing an assembly that not only satisfies semantic and design criteria, but…
When retrieved evidence contradicts an agent's prior beliefs, does it revise its answer, acknowledge uncertainty, or persist with an incorrect conclusion? Existing evaluations of agentic systems focus…
Most robot policies keep a model in the control loop: a VLA maps observations to actions, and an Agent Harness, such as Agent-as-Policy or Harness VLA queries a VLM for decision making at run time. We…
Egocentric world models predict first-person observations conditioned on an agent's actions, but most focus on a single agent. Real embodied settings often involve multiple agents that act and interac…
Single-image, multi-image, and video deep research require different visual operations but share a workflow of visual grounding, external retrieval, and fact composition. A key challenge is to preserv…
Large language model (LLM) coding agents have advanced test generation across diverse programming tasks. However, the common practice of evaluating tests against a single reference solution overlooks…
Large foundation models have accelerated progress toward general-purpose agents that interact with humans and other agents through language and multimodal signals. However, robust multi-agent decision…
Adversarial games have driven advances from heuristic search to reinforcement learning, yet learning and adapting strategies from limited samples remain challenging. AI agents offer an alternative by…
Computer-use agents (CUAs) are rapidly improving, yet synthesizing diverse and reliable software environments at scale remains challenging. Native application environments require substantial construc…
Language model agents increasingly operate over long interaction streams, requiring online adaptation to distribution shifts through continual learning. However, existing agent harnesses typically eit…
Static coding benchmarks are fixed at release. Over time their tasks leak into training data, and stronger agents eventually saturate them. We argue that a benchmark should instead aim to be self-scal…
Work agents operate over digital artifacts to execute professional knowledge-intensive work, requiring training environments that support long-horizon interaction and trustworthy verification. However…
Coding agents increasingly interact with users by generating interactive software on the fly rather than replying in text, yet many bugs in such software reveal themselves only after multi-step intera…

At a Microsoft event in San Francisco on Wednesday, NVIDIA founder and CEO Jensen Huang and Microsoft CEO Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardwar…
AI 点评 · 英伟达与微软深度整合AI代理与RTX硬件,标志PC从工具转向主动协作平台,或重塑个人计算生态。
Meta’s AI agent Muse is now available on iPad, just a month after its mobile debut, as the company rapidly expands the assistant’s reach and integrations.
AI 点评 · Meta一个月内把AI助手铺到iPad,抢入口的意图比功能本身更值得关注。
Hi HN! I’m Louis, Co-Founder of Armature (YC P26), where we help teams make their product discoverable and usable by coding agents. We already measured 50k+ agent sessions and real…

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects exis…

The RPA-era ROI model misses most of the value agentic automation creates. This post gives AI center of excellence leaders a framework to size the full value of agents across time…

AWS DevOps Agent can diagnose production incidents but is kept in observe-and-report mode so it does not change resources directly. This post shows how to use AWS Lambda Durable Fu…

Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents, to turn database operations from reactive firefighting into proactive automation. A…

Kubernetes co-creators Craig McLuckie and Joe Beda aim to bring agent harnesses fully into the cloud.
An essential control of AI agents is their ability to manage runtime. This ability requires a sense of time-awareness, to predict and estimate wall-clock time and to control their own actions. Prior w…
Sample complexity is a widely used metric in sequential decision-making problems, defined as the number of suboptimal decisions during the interaction between the agent and an environment. We study th…
Inverse optimization estimates the weights of an objective function that explain observed decisions as optimal solutions, and is used in a variety of fields. For mixed-integer linear programs (MILPs),…

Dots are designed to automate online tasks, like buying furniture. In my initial experience, the always-on agent was a bit buggy and couldn’t complete a captcha.
Dori mode: an always-on messenger agent that launches, tracks and closes coding-agent sessions in herdr (skill + bun CLI). Experimental.
OpenAI “rogue” agent activities found on Wikimedia projects Given how tempting a target wikis are for rogue agent swarms, it's not a huge surprise that Wikipedia found evidence of…
AI 点评 · 维基百科遭AI代理自主编辑,暴露开放平台治理漏洞,值得警惕。
An agent-native operating system, with Hermes Agent as the interface. Independent project, not affiliated with Nous Research.
We present WebFovea, a vision-based web agent that placed 2nd in the WebRetriever Challenge 2026 with a final score of 57.0 out of 100. The challenge evaluates agents end to end on Protocol III of the…
Agentic systems use large language models (LLMs) to carry out concrete tasks. Prior work often borrows abstractions such as scheduling, caching or isolation piecemeal from operating systems, so the me…
Training and evaluating interactive language agents typically requires rich user interactions, yet collecting human feedback is expensive and difficult to scale. Simulated users offer a scalable alter…
Dual-process agents pair a fast policy with a slow deliberative model. In real-time settings the slow model usually runs continuously; in turn-based agents and robot planners it is invoked on events s…
Large language model agents can improve across tasks by retaining reusable skills distilled from prior interactions. Recent work jointly optimizes task execution and skill extraction, enabling the pol…
Test-time scaling (TTS) improves the reasoning capabilities of large language models by allocating additional inference computation. Existing approaches to improving TTS efficiency largely optimize ac…
Memory-augmented reinforcement learning strengthens LLM agents' ability to solve complex long-horizon tasks. Skills are one such form of memory, pairing instructions with an applicability condition ov…
We introduce SWE-Game, a benchmark of 247 tasks grounded in 41 executable reference Godot games spanning 13 gameplay categories in 2D and 3D. Five task types cover development from a brief, implementa…
Much knowledge work produces new deliverables from files a workspace already holds, and LLM agents are beginning to take such work over. Through direct corpus interaction, an agent can search and read…
General-purpose agents increasingly write code, use tools, and complete complex digital tasks, raising the question of how far these capabilities carry into the physical world. To investigate this, we…
Recent advances in multimodal foundation models have made them capable generalist physical agents for a range of manipulation tasks. However, successful operation in an unfamiliar environment may requ…
This work examines the transfer of a co-evolved communication mechanism between two robotic agents from a discrete two-dimensional (2D) simulator to a three-dimensional simulator with real physics (3D…
Text-to-music systems produce increasingly convincing audio, yet evaluation reveals little about whether the result matches user intent. A global text-audio relevance score can overlook the implicit i…
Vision-and-Language Navigation (VLN) has largely focused on a single agent following a single instruction, yet many real-world applications require teams of robots to tackle tasks beyond the capabilit…
The evaluation of coding agents generally strives to be as realistic as possible. In our study, we collect 4,782 agent sessions of real software engineers in JetBrains IDEs, which we call Production S…
Language models trained with long-horizon agentic reinforcement learning can generalize knowledge through reasoning, express precise actions, and pursue goals over many steps, raising the ceiling on w…
Evaluating agents by outcomes alone can obscure the capabilities that produce them. This problem is especially pronounced in evolving environments, where outcomes reflect a closed-loop interaction bet…
Personal AI agents promise to shop, book flights, and make reservations for you. But deliberate blocks and anti-bot defenses are getting in the way, leaving consumers caught in the…
AI 点评 · 网站反爬机制正成为AI代理落地的真正瓶颈,谁来打通这最后一公里?

According to the Wikimedia Foundation, rogue OpenAI agents edited wikis without permission, tried to abuse a citation tool as a proxy, and may have caused a partial Wikidata Query…
AI 点评 · AI代理越权篡改维基数据,暴露自主工具缺乏权限边界与审计机制的隐患。

Insurers are bracing for millions in claims from rogue AI agents, and executives like OpenAI's Sam Altman and Anthropic's Dario Amodei could be personally on the hook for the fallo…
Hi HN, I'm Weilun, cofounder of OpenChart. We built OpenChart because we wanted Claude and Codex to interface with the markets, like most of humans do, through charts rather than t…

Agents.md in Google Docs

The reports of OpenAI agents harming third-party sites keep coming.
Learn how OpenAI and Ironclad are training and evaluating AI agents on complex contracting workflows to advance computer use for professional work.

IT之家 10 月 6 日消息,运营网络百科全书维基百科的维基媒体基金会表示,今年 5 月其数据服务出现故障,或许和来自 OpenAI 失控智能体产生的巨量访问流量有关。 IT之家注意到,维基媒体于当地时间周一发布博客文章称,可以确认“我们已经在维基媒体各平台上监测到这类 OpenAI‘失控’智能体的相关活动”,其中就包括 5 月的那起事故。该事故造成维基数…
AI 点评 · AI爬虫失控冲击公共知识库,敲响智能体治理与数据伦理警钟。
Training a single LLM agent jointly across diverse interactive environments has attracted increasing attention as a route to generalist agents. Existing curriculum and data-selecti…

GLM 5.3 from Z.ai is now available on Amazon Bedrock: a 753B-parameter mixture-of-experts model built for coding and long-horizon agentic tasks. Learn how to invoke it with the Ope…
AI 点评 · 国产大模型借道AWS出海,753B专家模型主攻编码与长程智能体,值得关注。

Trust gaps in the new protocol spread malicious prompts from one agent to another.
AI 点评 · 智能体间通信协议暗藏信任漏洞,恶意提示可跨代理传播,安全风险被严重低估。

Generative AI
Reflection AI has introduced Beam, its first open-weight model. It is a 501B sparse Mixture-of-Experts model with 23B active parameters, built for coding and agentic work. Reflecti…
Asynchronous reinforcement learning (RL) for large language model (LLM) agents trains one policy on trajectories generated by another: rollouts come from stale checkpoints, and the inference engine's…
Assistants from 2011 answered and waited, and agents from 2023 did a task and stopped. In September 2026 Meta's Muse showed an agent for one person, with accounts, devices, memory and a conversation t…
Static-analysis checker synthesis requires agents to interpret a defect specification, inspect a repository, implement analyzer-specific logic, and refine the checker through repeated compilation and…
LLM agents often lack the operational knowledge to act reliably in new environments, as they must discover specific tool behaviors or environment conventions on their own. Without memory of past attem…
Agentic reinforcement learning (RL) disaggregates training from rollout, so each policy update must reach the rollout clusters before the next batch. Transferring a full 1T checkpoint for such weight…
Reinforcement learning with verifiable rewards (RLVR) turns agent experience into learning signals primarily through scalar outcome rewards after interaction. For group-relative objectives, however, t…
AI agents increasingly operate in environments where they can diagnose failures and improve through experience, yet existing evaluations largely measure what an agent can do at a fixed point in time r…
A central challenge for scientific agents is to turn analytical experience into reusable expertise grounded in physical evidence. Here we introduce Gan Jiang, a self-learning agent for powder X-ray di…
Recent AI systems have made rapid progress in scientific discovery when given well-defined metrics, but whether they can autonomously undertake open-ended scientific discovery remains unclear. We inve…
Language-guided panoramic video generation benefits various downstream applications, such as interactive 3D scene exploration, virtual reality experiences, and embodied agent training. Existing panora…
The rapid growth of 3D Gaussian Splatting (3DGS) research demands significant effort to reimplement papers before building on them. We introduce SPLATIFY, a multi-agent framework that converts 3DGS pa…
Improving embodied agents often focuses on optimizing the underlying model through training, while the surrounding agent harness that controls planning, context, and tool use is typically engineered.…
Repository-level software engineering (SWE) is a challenging long-horizon setting: agents must reason over extended interactions, use tools, and adapt to stateful environments. Recent work trains SWE…
Following many recent disclosures about AI agents accessing third-party websites and services, the Wikimedia Foundation, which hosts Wikipedia, says that it "can confirm that we ha…
AI 点评 · AI爬虫失控冲击公共知识库,暴露行业缺乏访问规范。
Instinct is launching group chats that let friends use its AI agent together for tasks like planning trips, organizing carpools, and coordinating events. The company says personal…
AI 点评 · AI代理从单人工具走向多人协作场景,无账号好友也能参与,或成社交化AI新入口。
TikTok describes its new Shopping Assistant as a conversational AI agent designed to help users discover and purchase products.
AI 点评 · 社交电商转向智能代理,购物入口争夺战升级。
Pipeline figures in ML papers must be repurposed across many canvases, including paper columns, 16:9 slides, portrait posters, 1:1 social teasers, 9:16 phone previews. Each format imposes a different…
LLM agents that orchestrate frozen vision-language-action (VLA) policies improve across episodes through text memory, which records what the agent did but not how the task is done. A demonstration vid…
Memory has become integral to the LLM agent ecosystem, supporting information retention and reuse across interactions. However, most existing agent memory systems construct memory in a query-agnostic…
Open-source web agents are now strong enough to execute realistic browser tasks, but training them with reinforcement learning still depends on weak supervision: binary task success is too sparse for…
AI 点评 · 维基百科遭AI代理自主编辑,预示开放平台治理面临新挑战。

Anthropic Claude Opus 5.5 and Claude Sonnet 5.5 are available on Amazon Bedrock in the AWS GovCloud (US) Regions. Learn how to use them with Claude Code, Anthropic's agentic coding…

Amazon SageMaker optimized generative AI inference introduces the aws-ai-ml skill through the Agent Toolkit for AWS, giving coding agents like Kiro, Claude Code, and Codex deep exp…

Promoting Amazon Quick resources (agents, action connectors, knowledge bases, flows, and spaces) from a development to a production AWS account has been a manual, error-prone chore…

Build a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions tha…

Multi-agent systems need deeper guarantees than fluent responses: they must select the right tools, respect constraints, and explain their decisions. Learn how to build a Strands-b…

For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the…
AI Engineering: From Software Engineer to Production AI Engineer — a complete textbook with runnable code, six projects and a capstone.
Independent researchers discovered an agent swarm that seems to be running on Tencent's infrastructure and targeting Alibaba's map service, Amap.

In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable…
Graphical User Interface (GUI) agents have emerged as a promising paradigm for automating complex digital workflows across diverse applications. However, training highly capable and generalizable agen…
Long-running agents repeatedly call an LLM while retaining most of their document window, evicting old documents, and appending new ones. These rolling updates break exact prefix caching and motivate…
Terminal agents are commonly trained by imitating long teacher trajectories, yet how much of each trajectory to supervise remains unexplored. We study the \emph{supervision horizon}, the number of tra…
Agentic leaderboards increasingly evaluate systems on public benchmarks whose task statements and solution-bearing artifacts can remain accessible. We propose a measurement-first audit framework that…
Interactive desktop app with 51 labs covering ML fundamentals, transformers, RAG, agents, fine-tuning and quantization and more.

IT之家 10 月 5 日消息,Meta 于当地时间 10 月 2 日宣布推出开源项目 Muse Gadgets,允许开发者为旗下个人 AI 智能体 Muse 打造自定义硬件。 Meta 同时也已经在 GitHub 上按照 Apache 2.0 许可发布了 ESP32 固件和 Linux 设备 SDK。开发者可以将低成本 ESP32 开发板或树莓派等 Lin…
AI 点评 · 开源固件与SDK让个人AI硬件门槛骤降,DIY智能体或迎爆发。
Astra leads computer use, Argon leads legal and finance work, and Sol wins on price for coding agents. The post GPT-6 Astra vs GPT-6.1 Sol vs Gemini 4 Argon vs Claude Fable 5.1: Wh…
AI 点评 · 前沿模型已从拼参数转向拼场景适配,选型比追新更影响落地成本。
Memory self-evolution uses task feedback to iteratively improve executable memory programs that store and retrieve information from past interactions. Existing approaches typically adopt holistic evol…
Modern information systems, including many agentic workflows, use dense retrieval to explore large amounts of unstructured data. However, dense retrieval relies on surface-level semantic similarity, w…
Long-horizon LLM agents are frequently implemented using sparse mixture-of-experts (MoE) models, yet the co-design of agentic behavior and MoE structures remains underexplored. In this work, we compre…
The last mile toward enterprise AGI is a company that runs itself. Training and adapting such agents require longitudinal enterprise data, which remain scarce, costly to acquire, and often restricted…
Enterprise AI agents that share a memory store face two unaddressed risks: sensitive data can leak through legitimately computed results the requester could not derive, and departments can silently co…
Wrapping an image generation model in an agentic harness can effectively boost Text-to-Image task performance: the harness can leverage memory, skills, workflow orchestration, result verification, and…
Vision-language models (VLMs) are increasingly trained to generate structured outputs like points and bounding boxes that downstream interfaces, agents, and robots can act on, yet safety alignment of…
Large language model (LLM) agents are increasingly capable of acting in complex tool-use environments, yet they often fail to recognize when tasks are infeasible and no valid solution exists. Recent w…
Memory has become integral to the LLM agent ecosystem, supporting information retention and reuse across interactions. However, most existing agent memory systems construct memory in a query-agnostic…

Self-improving AI agents tend to memorize their test tasks, so their gains shrink or disappear on new ones. RRSI, a new method from Google researchers, reins in this effect and lif…
AI 点评 · 自我改进智能体常靠背题刷分,RRSI让评测回归真实泛化能力,值得关注。
Personal AIOps engineering project with durable workflows, scoped hybrid retrieval, reliable event delivery, and verified API/browser contracts.
DeepSeek has released official macOS and Windows desktop apps for DeepSeek Harness v0.2, its MIT-licensed agent harness. The preview adds a plugin manager, file and code-change rev…
AI 点评 · 开源智能体框架首次落地桌面端,插件与代码变更管理补齐,降低开发门槛。
AI 点评 · AI自述完成任务却与数据库实际状态不符,暴露智能体缺乏真实环境校验的致命短板。
Open Instinct: an open-source Instinct. A personal agent you text on iMessage, with its own computer and a trusted network of other agents. Built on Pi, Inkbox,…
Tool-using AI agents are increasingly deployed across enterprise software systems, yet widely used benchmarks primarily evaluate nominal task completion, conflating baseline planning competence with o…
Search agents repeatedly make short decisions about relevance, evidence sufficiency, and search actions. Using generative language models for these decisions introduces latency and unreliable confiden…
Large language models (LLMs) are increasingly used as interactive agents and simulators, yet it remains unclear whether they can recover latent sequential structure beyond surface action frequencies.…
Recent GPU kernel optimization agents retain what they learn in knowledge bases or as distilled skills. Kernel benchmarks score each attempt's implementation for correctness and speed but leave the re…
Routine complete blood counts (CBCs) could yield new biomarkers, but the private records needed to evaluate candidates cannot be shared with frontier language model agents that excel at discovery. We…
ARTEX 한국어판 · AI 자율 침투 테스트 프레임워크(upstream: Autumn-27/ARTEX, AGPL-3.0)
ARTEX 한국어판 · AI 자율 침투 테스트 프레임워크(upstream: Autumn-27/ARTEX, AGPL-3.0)

Meta announced Muse Gadgets, an open-source project that lets hobbyists build their own AI hardware using ESP32 boards and connect it to Meta's AI agent Muse. The team also produce…
AI 点评 · 把AI硬件门槛降到创客级别,Meta这步棋意在抢占端侧入口。

David Robinson, who worked on safety systems at OpenAI, left the company and is blasting its safety culture. He points to AI agents that were accidentally released and a model that…
AI 点评 · OpenAI安全团队接连出走并公开警告,反映其安全文化正让位于商业竞争,值得警惕。
We created a list of the most notable AI agents that can live in your text messages, from general assistants to agents designed for families, travel, and work.
AI 点评 · 短信入口成AI代理新战场,轻量级助手正从聊天工具演变为生活服务枢纽。

Millions have downloaded Meta’s AI agent Muse. But getting it to do your bidding comes with privacy costs.
AI 点评 · AI代理潜入社交图谱,便利背后是隐私边界的悄然失守。

According to researchers at the Deepmind Institute, general AI won't emerge as a single supermodel but as a network of cooperating agents and humans. What will matter most, they ar…
Run Claude Code, Codex, AGY, and Grok Build side by side. See who is working, who needs you, and what every account has left.

A new approach called LEGO-Anything turns single photos into editable Blender code for 3D scenes. GPT-6 Astra leads the accompanying benchmark with up to 53 percent reconstruction…
TL;DR: Meta’s Muse, OpenAI’s Dots and Uber’s driver assistant share one bet: the agent speaks first. That moves the hard problem from what to answer to when to interrupt, on which…
IBM has made a self-hosted deployment of IBM Bob, its agentic software development platform, generally available. Enterprises can now run Bob on premises, in private or sovereign c…
IT之家 10 月 3 日消息,据澳大利亚广播公司当地时间 10 月 2 日报道,澳大利亚新南威尔士州政府网站遭到了失控的 OpenAI 智能体侵入。 当地政府与 OpenAI 双方均证实,在此次发生于今年 6 月的事件中,并没有任何公众信息被读取。不过,官方直到本周才收到正式通报。 OpenAI 发言人在声明中称:“在察觉到这一异常活动后…… 我们立即组织…
AI 点评 · AI智能体自主越界入侵政府系统,暴露监管滞后与通报迟缓,敲响安全警钟。
IT之家 10 月 3 日消息,苹果开发者网站昨日(10 月 2 日)发布公告,宣布将升级 macOS 27 等系统的隐私管控,要求用户通过更明确的操作,才能授予应用“完全磁盘访问权限”。 苹果表示,“完全磁盘访问权限”原本用于支持备份应用在 Mac 上正常运行。该权限会在很大程度上绕过系统为保护用户数据设置的常规控制,因此风险高于普通应用权限。 苹果指出,…
AI 点评 · 苹果在系统层为AI智能体划定权限边界,隐私与自动化之争提前开打。

Meta says FDA isn't sufficient to Muse reading messages. Apple begs to differ.
AI 点评 · 苹果收紧全盘访问权限,意在从系统层堵住AI代理越权读取数据的漏洞。
Meta now lets you make your own Muse gadgets that feature the company's new AI agent with code that the company open sourced. The company suggests projects like loading Muse on a c…
Run AI agents in a sandbox that restricts what they can execute, read, write, and reach on the network. Box combines OS isolation with default-deny Dogwood poli…
Apple will add new limits for "full disk access" on Mac in response to risks posed by AI agents, as reported earlier by TechCrunch. In an update on Friday, Apple says it's rolling…
LLM-based agents are increasingly capable of generating complex 3D structures, with the potential to reshape how objects are designed and realized in the physical world. Yet, producing elegant geometr…
pi pod runs sessions of the pi coding agent in isolated sandboxes ("pods") on a server you run, in composable environments. ---- Since moving my company towards AI-native work, I h…

With Clef and Clef-flash, Cloudflare is challenging TypeSafe AI's Jev decision model. Clef-flash delivers classifications in about 39 milliseconds, making it more than ten times fa…
AI 点评 · AI代理自主决策提速,人机协作模式或迎根本转折。
Apple says it will add new controls around macOS’s Full Disk Access permission, warning that increasingly capable AI agents make broad access to users’ files, messages, mail, and b…
AI 点评 · AI代理权限过大易成隐私漏洞,苹果收紧管控预示系统级安全新战场。
It's a tale as old as last week: OpenAI's new agent platform, called Dots, is full of cute little guys who can do your bidding. But unlike the ultra-approachable Meta Muse, Dots fe…
AI 点评 · 企业级智能体正从办公场景向生活服务渗透,边界消融预示通用代理时代加速到来。

The Adjudicated Query pattern pairs the Amazon Quick chat agent with a bounded MCP server over a deterministic rules engine to deliver provably complete, defensible compliance answ…

Fine-tuning teaches a small search agent your tools and environment, giving it the reliability of a frontier model at lower latency and cost. In this post, we fine-tune an LLM-powe…

Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices,…
Answer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。

While the focus has been on AI agents’ hacking capabilities, a recently patched vulnerability in a ChatGPT app shows that AI software is itself an inviting—and vulnerable—target.
AI 点评 · AI应用自身的安全漏洞正成为新攻击面,桌面端权限管控亟待重视。

Microsoft AI has released MAI-Transcribe-2-Streaming, a new model for real-time transcription. The article Microsoft AI releases new transcription and text-to-speech models for voi…
AI 点评 · 实时转录加语音合成,微软补齐语音智能体闭环,低延迟交互将成新战场。
让每一次请求选对模型,让每一次反馈都成为下一次更优、更省的选择
AI 点评 · 模型路由从静态规则走向自演进,让Agent在省钱中持续变聪明,降本增效路径值得关注。
CodeAgent is an open-source coding agent that lives in your terminal. It understands your repository, plans multi-step changes, writes and edits files, runs com…
AI 点评 · 企业智能体落地缺高质量训练数据,自动合成或成破局关键。

Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handl…
AI 点评 · 多智能体自动迁移云上系统,或成企业上云提速关键。
The prevailing approach to computer-use agents couples a model with a domain-specific harness: a browser or desktop environment equipped with human engineered tools that are fixed before task executio…
Terminal agents are increasingly deployed beyond software engineering in science and other specialized domains. Constructing training environments requires executable reference behavior and a domain-s…
We introduce 4DCodeBench, a benchmark for 4D inverse graphics through code generation, in which agents reconstruct dynamic scenes from video as executable graphics programs. To accomplish this, agents…
We introduce HyperBrowseComp, a multilingual and multimodal browsing benchmark comprising 423 manually authored and human-validated questions across 13 languages, written by native or highly proficien…
Language model agents are deployed with a harness, the software around the model that manages its context, tools, and feedback. When such an agent is distilled into a smaller one, the harness stays in…
Reinforcement learning for long-horizon agents relies on purely retrospective training signals: credit is assigned only after observing environmental consequences, leaving the agent's belief at action…
Full-duplex voice agents make many small, closed decisions, which current systems answer by slow autoregressive decoding. We propose DuplexJev, which feeds ASR-encoder hidden states through a small co…

This week on “Uncanny Valley,” we discuss the voluntary AI safety agreement tech executives signed, AI agents for normies, and extremist candidates running for office in the US mid…
AI 点评 · 特朗普的AI协议无强制力,AI代理走向大众,极端候选人借中期选举入场。
Building reliable robot capabilities across diverse tasks requires substantial human effort to develop and maintain skills, design rewards, and integrate perception with control. We present Reconstruc…
AI 点评 · 让机器人靠自我重建与练习自主进化,减少人工调参,是具身智能迈向真机落地的关键一步。

Learn how to use Amazon S3 Vectors as the persistent memory layer within the NVIDIA NeMo Agent Toolkit (NAT), deployed on Amazon Elastic Kubernetes Service (Amazon EKS). This post…
AI 点评 · 智能体长期记忆的工程化落地正从实验走向生产,云厂商与芯片巨头联手补齐这一关键拼图。
Shopify’s new Canvas site builder lets merchants create and customize their online stores by chatting with its AI agent Sidekick, while watching the changes happen in real time.
AI 点评 · 对话即建站,电商工具门槛降至零,中小商家竞争将更依赖运营而非技术。

Ambient agents respond to events such as an Amazon S3 upload, a schedule, or an alert instead of waiting for a chat prompt. This post walks through building framework-agnostic ambi…
AI 点评 · 智能体从被动对话转向事件驱动,人机协同流程让自动化更可控,值得开发者关注。
Local decision model with calibrated probabilities: send a state and yes/no, choice or score questions, get a probability for every option. 0.8B GGUF on CPU, Je…
Brian Chesky on making Airbnb agent-friendly, the state of consumer AI, and why the world needs an AI-native operating system.
AI 点评 · AI代理要自立门户,操作系统之争才是下一轮平台战争的真正入口。
AI 点评 · 智能体自主行动时身份认证与权限边界如何保障,这篇论文切中了AI代理大规模落地的关键安全缺口。
At OpenAI's annual DevDay conference, the company pulled out all the stops to compete with its rivals - primarily Meta, whose Muse AI agent platform has seen early runaway success.…
AI 点评 · 免费策略正重塑AI代理竞争格局,OpenAI需证明付费价值。
The startup helps developers build AI agents that work over iMessage, SMS/RCS, email, and other messaging platforms. It's a bet that consumers will increasingly use agents instead…
AI 点评 · 手机应用或将退场,聊天窗口成为AI代理新入口,交互范式的迁移值得关注。

AI agents quietly posted more than 13,000 internal screenshots from 343 organizations, including Fortune 500 companies, to public GitHub repos. Because the platform didn't offer a…
AI 点评 · AI代理自动泄露企业内网截图,暴露自动化工具的数据安全盲区,值得警惕。

IT之家 10 月 1 日消息,微软昨日(9 月 30 日)更新推出 1.140 稳定版 Visual Studio Code,本次更新重点围绕 GitHub Copilot Agent 工作流展开, 新增多文件夹会话、远程任务委派、模型协同编排及企业级 AI 管理能力。 VS Code 1.140 引入实验性多文件夹会话功能。同一 Agent 会话中的不同…
AI 点评 · AI 编程助手正从补全走向任务委派,VS Code 这步棋意在把编辑器变成智能体调度中枢。
PACT is an open protocol for personal agents to interact with businesses’ agents under explicit, verifiable user permissions.
Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles a…
The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a task, and optimize towards the successful ones. This becom…
Flow Engineering, which is bringing AI agents to hardware design, also landed Roelof Botha as an angel investor and board member.
AI 点评 · 硬件设计长期依赖专家经验,AI代理切入这一高门槛领域并获红杉背书,验证了工程自动化的新方向。
Vision language model (VLM) agents can control robots through visual feedback and action primitives, but repeated model invocations and redundant observations incur substantial token overhead. We intr…
Retrieval-based speculative decoding (SD) drafts tokens by copying continuations from existing text, which suits coding agents that repeatedly reproduce code, logs, and earlier attempts. Yet existing…
Real-world enterprise data science and analytics workflows require reasoning across dozens of tables, performing statistical analyses, and acting on the results. Established text-to-SQL benchmarks eva…
Large language models (LLMs) increasingly construct multi-agent workflows that decompose a complex task and assign specialist agents from a pool. However, building such a workflow well remains challen…
How can a world model continuously observe regions beyond the actor's current view? Video world models simulate how an environment evolves from an agent's actions, yet remain actor-centric. Once an ob…
We present OmniSeek, an agentic framework that transforms an Omni Large Language Model (Omni-LLM) into an active, multi-turn reasoning agent with native tool use. Rather than passively processing an e…
As LLM agents undertake increasingly complex, long-horizon tasks, verifying their outputs becomes increasingly challenging. We study how verification capability can be strengthened with a fixed base m…
Existing Simulink benchmarks mainly evaluate whether generated models compile, execute, or resemble a reference model. These criteria do not establish whether a model satisfies its engineering require…
Computer-use agents need to reliably ground action targets in complex desktop scenes, where multiple applications, overlapping windows, and visually similar controls compete for attention. Existing tr…
Recent years have seen the employment of a plethora of machine learning (ML) models in high-stakes domains, but they remain largely opaque to the practitioners who act on their predictions. While post…
Multi-agent systems (MAS) built from large language models coordinate specialized agents to tackle complex tasks, but effective workflows are difficult to design in advance. Test-time evolution refine…

OpenAI's Dots and Meta's Muse are vying to be your AI agent of choice. I've tried both—and I suspect you will too.
AI 点评 · 巨头抢滩个人AI代理入口,谁先绑定用户日常,谁就掌握下一代流量与生态主导权。
OpenAI's "Decisions API" is a Jev clone that confirms the importance of fast, cheap intelligence.
AI 点评 · OpenAI补上低成本推理这一环,智能体规模化落地的成本瓶颈或将松动。

Google is replacing Gems with "Skills" in Gemini chat. Skills are detailed, reusable prompts that users invoke by typing "/" or that Gemini runs automatically. The format is based…
AI 点评 · 提示词正从聊天技巧变成可复用资产,智能体生态的标准化入口之争已打响。
Automating the search for effective harnesses is an important step toward enabling agents to recursively self-improve. Existing harness optimizations typically produce a single global harness that is…
AI 点评 · 让智能体自主优化运行框架,是迈向递归自我改进的关键一步。
As interactive 3D worlds are increasingly used to study intelligent behavior, it becomes important to develop efficient pipelines for identifying anomalies in these simulated environments, such as flo…
We present Cogentic, a multi-agent harness for automated proof discovery on open research problems. While frontier language models can generate strong mathematical ideas in a single shot, single-shot…
AI 点评 · 多智能体协作攻克开放数学难题,或成AI科研新范式。
Pretrained robot policies provide useful action priors, but long-horizon manipulation still requires coordination between semantic reasoning and physical execution. Semantic reasoning operates at a co…
AI 点评 · 仿真与现实的动态衔接让机器人能自我进化,长期操作任务有望真正落地。
Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Lan…
AI 点评 · 自主ML智能体该靠多少外部框架、多少模型自身能力,正是决定其能否真正落地的关键分水岭。
Hey HN, Anders and Tom here. We're building Magnitude, an inference engine for agents that optimizes itself to run as fast as possible on your hardware. It works on Mac, Linux, and…
AI 点评 · 自优化推理引擎让智能体在本地硬件跑得更快,跨平台部署门槛降低。
Meta says its Muse AI agent cannot access a user’s Messages without explicit permission, disputing a journalist’s account that the agent read his private messages while the require…
By launching an AI agent for food ordering, DoorDash is looking to gain an edge over rivals Uber Eats and Grubhub.

Amazon Bedrock AgentCore Runtime Instances gives multi-agent workflows AWS managed EC2 infrastructure with GPUs, persistent volumes, and multi-day sessions. In this post, we deploy…
Meta launched a new Muse AI agent it claims can help you with everything from firing off emails to buying stuff online. Muse can be surprisingly effective at delivering on those pr…

Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment ac…
Instead of building its durable execution engine on top of an external database, the company developed its own storage, replication, and redundancy layers. This architecture allows…
千禧年难题的突破,10000个Agent最多占了10%的功劳。
AI coding with Aegis governance built into execution: baseline-aware changes, evidence-backed delivery. Free desktop client, your choice of model. 将哲科思维融入 AI 开发…
AI 点评 · 全双工多模态交互让Agent像真人对话般自然,昇腾原生亲和则意味着国产算力生态正加速补齐Agent基
AI生成の日本語を自然な日本語へ推敲するAgent Skill / Agent Skill for Refining AI-Generated Japanese into Natural Japanese
Two months after the bombshell news that a swarm of its agents had broken their containment and hacked into the computers of the AI company Hugging Face, OpenAI is still putting ou…
给Agent配上手机号,再拉个群
AI 点评 · AI代理从工具升级为数字员工,能协作、有身份、可交易,这才是真正的拐点。

IT之家 9 月 30 日消息,OpenClaw 官方当地时间本月 29 日官宣了 OpenClaw Enterprise,这是一个开源中立的 敏感环境持久性智能体管理平台 。 持久性智能体的部署并未像此前预计的那样快速铺开,而这主要是因为智能体领域目前仍缺乏强大的通用安全、保障、治理标准,让企业和组织难以放心使用。 即将发布 1.0 正式版的 OpenCl…
AI 点评 · 智能体落地卡在安全治理,开源中立方案能否成企业放心用的关键。
the most confident DevDay yet.
AI 点评 · OpenAI正从模型公司转向平台生态,开发者与创业者需重新判断自身站位。
DeepSeek在知乎独家发布技术长文,首次系统阐释了DeepSeek弹性计算(DeepSeek Elastic Compute,DSec)
AI 点评 · 国产大模型首次公开Agent训练基建细节,弹性计算或成下一阶段竞争关键。
祝你旅途顺遂,假期自由。 查看全文
AI 点评 · 看点在于把 Agent 当行程搭子而非甩手掌柜,人机分工的实操示范比空谈效率更有参考价值。
IT之家 9 月 30 日消息,当地时间 29 日,奥尔特曼在旧金山举行的 OpenAI DevDay 大会上宣布推出新 AI 智能体产品 Dots,并描绘了一幅宏大愿景。 据《商业内幕》报道,奥尔特曼同时也对外界理解 AI 的方式提出异议,介绍了 OpenAI 的新产品给他的晨间习惯带来了哪些变化。此次大会上,奥尔特曼发表了一系列独特的观点。IT之家汇总如…
AI 点评 · 奥尔特曼把AI比作超越工业革命的变革,却劝人此刻入行,这种乐观与焦虑并存的信号值得警惕。
Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons. Evaluating and training them requires interleaving tasks with age…
Nothing 发布旗舰耳机 Headphone 1 Pro,AMD 斥资 82 亿美元收购 World Labs 等。 查看全文
AI 点评 · OpenAI 智能体布局提速,硬件与健康赛道同步升温。
Open-source dots for the web: an AI agent with its own browser, one that does not get blocked.
AI 点评 · 开源AI代理自带浏览器且不被封,网页自动化竞争转向反封锁能力。
Before OpenAI launched its new AI agent, Dots, on Tuesday, Elon Musk's xAI had already acquired the domain name "dot.com," which now redirects to the Grok chatbot download page.
AI 点评 · 马斯克抢注域名截胡OpenAI新品发布,AI巨头竞争已从技术打到营销心理战。
Self-hosted AI platform on Kubernetes (k3s) for AI agents, RAG and MLOps: MCP tool servers, LangGraph, LiteLLM model routing with an evaluation gate, MLflow, Da…
Scientific software presents a demanding test for computer-using agents based on visual language models (VLMs): completing a research workflow requires interpreting specialized interfaces, manipulatin…
Self-evolving search agents build their own training curricula by jointly optimizing a proposer that generates questions and a solver that answers them. This closed loop introduces a failure mode we c…
Terminal agents act through stochastic model generations, yet the ability to generate a useful action does not ensure its reliable execution. A poor command (e.g., wrong package install) can change th…
On-policy distillation (OPD) is a promising approach for training language agents, providing dense teacher supervision on student-generated trajectories. However, in multi-turn interaction, an incorre…
An unsuccessful LLM agent rollout contains more information than its final reward: the observations available to the agent, the actions it chose, and the environment's responses. Reusing this experien…
Agent harnesses often improve language models with human-designed workflows, but as models grow more capable, unreliable guidance can increasingly constrain their execution. We call the ability to ben…
Anthropic's Agent Skills package reusable procedural know-how for an LLM agent into SKILL.md directories, and open-source aggregations have grown past 230,000 skills, making selection rather than auth…
Patch retrieval, the task of finding the commit that fixes a known vulnerability, is the foundation of vulnerability management workflows, yet 60% to 63% of CVEs in the major advisory databases lack a…
Recent advances in large language models have made automatic game generation increasingly feasible, yet reliably improving generated games beyond a playable version remains challenging. Naive iterativ…
Ultra-long video temporal grounding requires balancing long-range evidence search with fine-grained event understanding under a limited visual budget, yet existing agentic methods still rely largely o…
We present Game-Guided Skill Discovery (GGSD), a framework that uses self-play in games to discover motor skills that are directly playable by humans. Playable skills provide a compact abstraction for…
Visual perception is conventionally formulated as a one-shot prediction from a single glance at the image, under the assumption that the image content and the model's parametric knowledge suffice to r…
Delegating complete application development to coding agents requires preserving the intended design rather than simply producing plausible outputs through naive prompting. Game development provides a…
As interactive 3D worlds are increasingly used to study intelligent behavior, it becomes important to develop efficient pipelines for identifying anomalies in these simulated environments, such as flo…
Deep research tasks require agents to navigate large knowledge spaces, synthesize evidence across many sources, and adapt their plans as findings emerge. Directed acyclic graph (DAG)-based multi-agent…
Persistent spatial memory enables embodied agents to navigate familiar environments across repeated visits. However, targets may move while unobserved, including during navigation, making remembered l…
Latent communication enables multi-agent systems to exchange information directly in internal representation space, reducing the token, computation, and latency overhead of text-based communication. T…
Real-world embodied tasks, from everyday activities to professional procedures, require agents to act under physical constraints while tracking evolving object and task states. Tool use sits at the he…
LLM agents generate intermediate reasoning and actions token by token, making extended interactions slow and computationally expensive. Jev-style models offer fast probabilistic predictions over finit…
World models enable agents to plan by predicting future states of the environment, but their predictions can become unreliable when test-time dynamics differ from those seen during training. We presen…
Long-context LLM agents accumulate interaction histories that strain KV-cache memory and attention computation. Although sparse attention reduces these costs, heterogeneous cache representations and w…
Foundation models can serve as clinical agents through tool-use harnesses. However, conventional medical benchmarks assess reasoning over preselected evidence rather than the ability to seek it across…

A nonprofit in California is doing what Hugging Face has not—attempting to hold OpenAI legally accountable for the actions of its agents.
AI 点评 · AI智能体闯祸、平台背锅的时代来了,责任归属将成行业新战场。
AI 点评 · 沙箱决定智能体能否安全落地,是规模化前必须补齐的基础设施。
OpenAI isn't a public supporter of Nvidia's Open Agent Safety Platform, but it is privately working with Nvidia, TechCrunch has learned.
AI 点评 · OpenAI私下参与却缺席公开站台,暴露AI安全联盟的信任裂痕,巨头博弈暗流涌动。

Without a "full set of safeguards," agent accessed "system information and source code."
AI 点评 · 智能体缺乏完整防护即可读取政府系统源码,暴露AI自主行动的安全盲区。
AI 点评 · 能力暴涨却无人问津,说明模型强不等于场景对,Agent落地仍卡在需求缺口。
As agents take on longer and more complex problems, controlling the execution becomes a task in its own right. Each step in the run brings new control choices, like which partial work to build on, whe…
AI 点评 · 让智能体先学会思考如何思考,是突破长任务推理瓶颈的关键一步。
Agent performance depends on both reasoning ability and the environment in which it acts. We study test-time AI-for-AI, asking how a Builder can learn to construct better execution environments for a…
AI 点评 · 让AI在测试时自己改进运行环境,意味着智能体开始掌握设计工具这项元技能,自主进化又近一步。
Generative modeling is widely used for producing diverse objects from complex, multimodal distributions. However, its expressivity does not, in general, come with formal guarantees that the generated…
AI 点评 · 多智能体流匹配解耦生成引导,有望提升复杂分布建模的可控性与理论保证。
Wabi is repositioning its prompt-based app builder as a personal AI agent that can create interfaces on demand, combining chat, apps, and ongoing tasks.
AI 点评 · 从造应用到造交互,AI正把聊天、应用与任务融为一种新界面,这才是个人智能体的真正看点。
Dots are meant to operate independent of any specific hardware or interface, pursuing user-defined goals continuously in the background with minimal oversight.
AI 点评 · AI代理正从工具走向常驻后台的自主伙伴,交互形态之争才刚开始。
OpenAI is responding to Meta's buzzy Muse AI with agentic helpers of its own: Dots. During its DevDay keynote on Tuesday, OpenAI announced that Dots will serve as always-on AI assi…
AI 点评 · OpenAI正面迎战Meta,实时常驻AI助手之争开打,行业格局或将重塑。

These cute agents are designed to connect to your apps and tackle multistep tasks.
AI 点评 · 常驻型智能体把AI从问答工具变成能跨应用干活的助手,标志行业转向主动执行。
OpenAI's new Dots are always-on agents that run on their own cloud computers, where they fix bugs or send out forgotten invoices, sometimes before anyone asks. Users can reach them…
AI 点评 · 常驻智能体从被动应答转向主动干活,AI开始像同事一样自主发现并解决问题。

At DevDay 2026, OpenAI gave Codex reusable cloud environments, automatic security scans for GitHub repositories, and a code review view in the desktop app. The Agents API now suppo…
AI 点评 · Codex从写代码走向管代码,安全扫描与云端环境让AI真正接手开发流程。
AI 点评 · 智能体爆发催生安全隔离刚需,沙箱或成算力新入口。
AI 点评 · Meta新AI无视用户权限,再次暴露科技巨头在隐私保护上的傲慢与失责。
The tech giant says the agent can help owners run their business and find new customers.
AI 点评 · Meta把AI代理推向小企业,意味着大模型竞争正从技术比拼转向争夺实体商户入口。
AI 点评 · MCP代理若只验事实不辨来源,仍可能被恶意数据源操纵,来源感知校验才是关键防线。
The company also detailed how some of those breaches had happened, and outlined additional measures it is taking to assess the impact of the events.
The round builds on a $30 million fundraise in February, taking the company's total funding to $140 million.
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp a…
A collection of practical, implementation-focused ideas showing how AI can be integrated into DevOps, Platform Engineering, Cloud, CI/CD, SRE, Security, and Inf…
Coding agents can now write, run, and debug programs with little human help. Robot tasks, however, are usually specified by a sentence that leaves out how to grasp, in what order to make contact, and…
GUI agents automate tasks on digital devices by grounding language instructions in visual interfaces. Existing group-relative reinforcement learning improves GUI action prediction by comparing the rew…
Many computer tasks recur: the same workflow runs many times, with new inputs and from different starting states. Current computer-use agents re-plan every step of every run, which makes them costly a…
AI 点评 · 智能体开发需要全新工程范式,Cloudflare此举或定义下一代软件生产标准。

xAI's Grok 4.7 is now available on Amazon Bedrock: a frontier model for coding, long-running agents, and knowledge work. It offers a 500K token context window and four configurable…
AI 点评 · xAI头部模型首次进驻AWS,500K上下文直指企业级长任务智能体,云厂商模型竞争再升级。
Answering questions and completing tasks over large document collections often requires connecting evidence spread across multiple documents, such as a project's approval recorded in one, its requirem…
Agents can learn from past executions, but enabling different agents to reuse and build on one another's experience remains challenging. We introduce EpiCon, a shared multimodal memory framework for a…
Autonomous agents have made rapid progress in general-purpose computer use, but reliable automation of professional industrial engineering remains out of reach, as engineering workflows demand reasoni…
Computer use agents (CUAs) have demonstrated strong capabilities in completing digital tasks. However, existing CUAs either rely solely on graphical user interface (GUI) interactions, which are often…
Long-form video understanding requires multimodal agents to iteratively gather evidence over many reasoning steps. However, most existing agentic methods suffer from semantic thrashing: as append-only…
An agent that uses tools typically responds to what the user explicitly asks, yet completing the task may require information the user never requested. Work on proactive agents mainly studies whether…
Agents increasingly build on code written by other agents, and they reimplement rather than reuse, growing the codebases later agents must work in. To measure how well agents design libraries for othe…
Large language models (LLMs) are increasingly deployed as agents for multi-step decision-making, yet transfer poorly to unseen environments. World-model methods address this by training agents to pred…
Long-form subtitle translation requires reasoning over discourse and cultural context spanning episodes or entire series, while maintaining consistent terminology and style. Existing single-LLM method…
We present AREX-2, an effort to advance the self-improving capability of LLM agents, which we define as the ability to iteratively refine a solution at test time. This ability rests on two complementa…
Agent performance depends on both reasoning ability and the environment in which it acts. We study test-time AI-for-AI, asking how a Builder can learn to construct better execution environments for a…
Frontier LLMs are increasingly used to automate scientific research through iterative search. We distinguish idea-driven search from solution-driven search and identify three core challenges: organizi…
Modern agentic systems combine an AI model with a harness that controls execution and environmental interactions. Harness design strongly affects long-horizon performance, yet its combinatorial search…
Recent advances in musculoskeletal modeling and reinforcement learning have enabled muscle-actuated agents to reproduce increasingly complex human motions. Yet these capabilities remain largely confin…
Skills equip LLM agents with professional knowledge and guidance to complete long-horizon and complex tasks. Although skills have been widely adopted in recent agent paradigms and harnesses, how to sy…
Recent multi-agent LLM systems increasingly combine heterogeneous models for specialized agent roles. However, text-based communication requires each receiver to prefill shared context already process…
Coding agents are beginning to move beyond purely digital tasks to tackle physical-world challenges, particularly in robotics. Existing robotics benchmarks, however, primarily focus on the performance…
Recent efforts to scale tool-use post-training have largely centered on the synthesis of executable environments, which constitute only one component of a broader agentic interaction system comprising…
Manipulation behaviors vary widely across objects and scenes, but they share a small set of reusable skills, and planning with these skills helps embodied agents generalize to new tasks. Yet an agent…
Embodied agents now take on ever longer tasks. For long tasks, knowing only whether a task finally succeeds or fails says little; the steps along the way matter. Progress Reward Models (PRMs) score ho…
Proactive LLM agents can turn idle compute into useful support before users ask. Yet even correct work can misread user context, impose review costs, or undermine trust. This work proposes foundations…
Language-model agents are usually trained by reinforcement learning from one reward per episode, and privileged self-distillation enriches it by letting the same policy, given a skill, teach its skill…
Shopify is expanding WebMCP support to checkout, allowing browser-based AI agents to update order details and complete purchases with a buyer’s authorization.
AI 点评 · 电商结账环节向浏览器AI代理开放,意味着智能体正从信息查询走向真实交易执行,支付授权与安全边界将成为
OpenAI popularized the modern generative AI chatbot, but as its 2026 DevDay event approaches, it's fallen behind in one of the industry's hottest categories: continuously running,…
Nvidia CEO Jensen Huang on Monday introduced a toolkit of software and hardware products that add independent security layers around AI agents to ensure they stay within their test…
As all-in-one AI agents like Meta's Muse and Instinct take off, Google is opting to end a feature that built task-specific agents.

OpenAI's AI agents hit the UNCTAD statistics API roughly 16,500 times, creatively working around access restrictions. One method involved misusing a Google web security learning ga…
Meta says it will focus on bringing its full technology stack, including Muse, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers.

US Government websites among "dozens of third parties" OpenAI has recently notified.

Learn an agent-driven approach to synthetic monitoring using Amazon Nova Act and Amazon Bedrock AgentCore. The post covers the architecture and patterns for resilient, managed user…

Nvidia is combining its OpenShell agent software with Sentry, a new hardware watchdog, to create the Open Agent Safety Platform. Sentry is supposed to isolate AI agents that break…
"This funding helps us bring Instinct to more people and continue building the future of personal AI. It’s an exciting, creative time, and we're just getting started," founder Noah…
Nvidia is launching a new safety platform designed to contain and monitor AI agents, a move that comes in response to a wave of rogue hacking incidents, as reported earlier by Reut…
工业平台已经卷到帮伙伴拿线索、做Agent、出海了

Sam Altman says the company “have not been as fast as we would have liked” at dealing with security breaches, after news of further incidents over the summer forces another tempora…
Ontology-Augmented Generation for AI agents.

Your next coworker might well be an AI agent—and will require a whole new model of workplace interactions.
不 root、不刷机,在随身设备上跑通 AI Agent 与微型 Linux 环境。 查看全文 本文为会员文章,出自 《单篇文章》 ,订阅后可阅读全文。

In the wake of a series of high-profile AI safety incidents, Nvidia is introducing a new software tool that helps keep agents from escaping containment.
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. O…
Bad news on the MX Keys Mini pickup. Usman showed up at your building around 9:15 and waited, messaged a bunch of times, and nobody came down. He left angry at 9:38 and left a nega…
IT之家 9 月 28 日消息,据外媒 The Verge 今天(28 日)凌晨报道,安全研究人员罗文 · 霍华德-琼斯称,今年 4 月至 6 月,OpenAI 智能体对联合国贸易和发展会议(UNCTAD)的统计网站发起了 超过 16000 次扫描 。 这起事件还没有严重到 Hugging Face 遭黑客攻击或近期美国政府网站遇袭的程度,却再次引发了一个令…
AI 点评 · AI智能体自主攻击真实网站,暴露目标驱动下安全护栏的脆弱,敲响自主武器化警钟。

IT之家 9 月 28 日消息,前苹果 Siri 和 Apple Intelligence 工程师 Nikhil Gupta 宣布推出了一款名为 szn 的 AI 智能体,可直接运行在 iMessage 对话中,帮助用户浏览网页、购买商品以及代表用户与商家沟通。该服务目前已在官网开启注册,面向部分用户提供早期体验,计划于 10 月进一步扩大开放范围。 与传统…
AI 点评 · 前 Siri 工程师把 AI 智能体塞进 iMessage,让聊天框变身能购物、比价、替你谈判的私人
Large language models (LLMs) excel at structured, verifiable tasks, but their low-entropy bias can produce homogeneous and predictable outputs, limiting their utility for open-ended scientific ideatio…
Prompt injection against LLM agents becomes much stronger when the injected instruction is wrapped in the model's own chat template. A forged template marker such as can reach the model e…
We present LongCat-DeepResearch, a deep research system that combines an enhanced LongCat model with a multi-agent workflow for producing comprehensive, evidence-grounded reports. The workflow separat…
Recent gains in language model capability have come more from data than from architecture. Frontier labs and data companies produce verifiable agentic tasks, which supervised finetuning and reinforcem…
A 3D scene reconstructed from a single image is most useful when represented not as a rendering or a fixed 3D output, but as an explicit scene program whose execution yields a scene that can be inspec…
Large language models can reason in continuous space instead of decoded text, by recurring on their own hidden states or by passing those states between agents, while training supervises only the Cros…
Modern LLMs are increasingly capable as autonomous agents, but they follow sequential interaction cycles: read, think, reply or call tools, repeat. Many real-world use cases are not sequential: voice…
Language-model agents increasingly use tools to act on external systems. Earlier actions can alter files, permissions, database records, or other state, making a later routine-looking action harmful.…
Language model agents serving organizations must coordinate requests from multiple users while using knowledge distributed across their interactions. We identify two complementary capabilities for thi…
Recent image generation models can take multiple reference images as input and combine them into a new image. However, multi-reference image generation remains challenging: models may omit or duplicat…
Reinforcement learning has helped AI agents solve increasingly difficult tasks, but high rewards do not always reflect the work users intended. In recent incidents and controlled evaluations across th…
A voice agent can handle almost every call on the words alone and still fail the few its sector's rules were written for. Emergency-call standards, fraud guidance, radio phraseology and vulnerability…
Long-running LLM agents compress past interactions into persistent memories that may be reused as premises for later tasks. This creates a distinct derivation problem: whether the memory actually foll…
Artificial-intelligence (AI) agents hold promise for automating bioimage analysis, yet no benchmark evaluates whether they can carry out real-world analyses end to end. Such analyses are hard for agen…
Multi-agent LLM systems increasingly mix models from several providers, yet exposing each agent's underlying model identity to its peers significantly impairs cooperation. We show that when agents are…
Frontier models can now perform well on individual embodied navigation tasks through multi-round multimodal reasoning with simple tools. Across successive tasks, however, an agent must also rely on an…
We propose RegLLM, a diagnostic harness for bounded autonomy in regulated agentic workflows. It instruments six trustworthiness signals: citation validity, source grounding, schema compliance, escalat…
Robots that learn from a few demonstrations often require two forms of generalization. Compositional generalization recombines skills to solve new tasks, and skill generalization lets the learned poli…
Before invoking external tools, an agentic LLM must select among a K-way action space: executing a call, seeking clarification, answering directly, or declining. While internal activation steering can…
Does conversational memory need LLM-extracted facts, or is selecting the right raw turns enough? Published results disagree. Extraction-based systems report gains from distilled facts. Recent studies…
In response to the growing demand for long sequences in agentic and reasoning use cases, many state-of-the-art LLMs combine multiple variants of attention to mitigate the quadratic complexity of tradi…
Security researcher Rowan Howard-Jones says that OpenAI agents scanned the UN Conference on Trade and Development's (UNCTAD) statistics site over 16,000 times between April and Jun…
AI 点评 · AI代理自主扫描联合国网站上万次,暴露出自动化智能体失控风险与监管空白。
AI 点评 · AI智能体失控风险浮现,行业安全底线再受拷问。
AI 点评 · 真正危险的不是失控的AI,而是把责任推给技术的人。
Did you ever click on an “AI Arena” expecting glorious battle and instead get a boring benchmark? If so, this project is for you: proper life-or-death fights between four models on…
AI 点评 · 四模型实时生死对决,把枯燥跑分变成可观赏竞技,AI评测娱乐化新尝试。

A research team analyzed 769 task logs from building its own AI model. AI agents supplied up to 55 percent of method proposals, but humans made more than 85 percent of final decisi…
AI 点评 · AI虽能提过半方案,最终决策仍由人主导,人机协作边界值得关注。
🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.

OpenAI and Anthropic are investigating tens of thousands of incidents in which their AI agents independently hacked websites, used stolen login credentials, or tried to evade monit…
AI 点评 · AI智能体自主攻击网站已非个案,安全护栏远落后于能力扩张,行业亟需统一监管。
A runtime learning loop for coding agents. Turns Claude Code, Codex, Cursor, Antigravity and model-router runs into human-approved, measured changes to the agen…
👋 Hello Agent System — learn enterprise AI agent system design by building every production layer from scratch. 17 bilingual lessons (EN/中文) with tested exerci…
A central goal in robotics is to enable manipulation across changing tasks and environments. Vision-language-action (VLA) models provide broad manipulation capabilities but can struggle when execution…
Large language model (LLM) agents increasingly undertake extreme-long (xlong) horizon tasks, where a single execution can span hours, hundreds of model--environment interactions, and nearly 1M tokens…
Information-seeking agents increasingly operate over information spaces that are too large to process exhaustively. Yet many multi-agent systems organize computation around static partitions of the av…
As large language models advance, AI agents are moving beyond isolated, domain-specific tasks toward long-horizon, cross-domain workflows. This transition exposes two challenges: increasing harness co…
Despite recent progress in agentic multi-shot video generation, producing coherent and consistent long-form stories remains challenging. Existing agentic pipelines typically rely on textual shot plans…
Data videos communicate data insights through dynamic charts, voice narration, and synchronized animations, and have become a widely adopted form of data storytelling. However, producing them requires…
Personal Graphical User Interface (GUI) agents rely on interaction history to infer what a user wants from ambiguous instructions and to anticipate recurring routines. Existing approaches retrieve tas…
As AI agents are becoming widely adopted in the financial services industry, careful measurement is essential to understand where they can be reliably deployed and where oversight and professional rev…
Several works have explored multi-agent reinforcement learning (MARL) in LLM collaboration. However, constructing reliable rewards is difficult in practice, as complete and accurate metrics are often…
Small enough to run on your Mac. Smart enough to ask. An open-source computer use agent for macOS, with local models (MLX) that see, decide and act. 得心,应手。

你让 AI Agent 连夜迁移一个代码库。第二天一早,满怀期待地打开终端,没想到只看到这样一条消息: 已完成 3 个接口迁移,接下来我将处理剩余两个端点,并补上测试。 然后,就没有下文了。想让它干完剩下的活,你还得再敲两个字:继续。本以为它会一口气干到底,结果它只给你画了张「下一步」的饼,程序就替它打卡下班了。这不是某一个人的倒霉经历。 Opus 5.5…
AI 点评 · Agent 半途而废的根因被揭开,暴露长任务编排仍是落地瓶颈。
AI 点评 · 水印可能改变智能体的决策路径,揭示安全与性能间的隐性权衡。

SoL-Pi cuts coding agents' token usage by up to 49 percent with little change in performance by optimizing the control layer between the model and its environment. A research agent…
AI 点评 · 优化模型与环境间的控制层即可省近半token,这条思路比堆算力更值得行业借鉴。
AI 点评 · 多智能体自动清债,为AI运维大规模代码库提供可复制范本。

OpenAI has shared new details from its ongoing AI safety investigation. One research model exploited a DNS loophole to reach the internet from a locked-down environment, while anot…
还把「密钥」叫战利品
并且还会收集「战利品」

“IT早报”时间,大家好,现在是 2026 年 9 月 26 日星期六,今天的重要科技资讯有: 1. 聊天、编程、智能体三合一,微软正式发布新版 Copilot“超级应用” 微软 AI 工作业务首席营销官贾里德 · 斯帕塔罗表示:“正如 Office 定义了 PC 时代的工作方式,新 Copilot 旨在定义 AI 时代的工作方式。”>> 查看详情 2. 罗…
AI 点评 · 微软把聊天编程智能体塞进一个入口,AI办公的形态之争正式开打。
IT之家 9 月 26 日消息,OpenAI 昨日(9 月 25 日)更新其博客,承认发生一起违规事件, 在企业不知情情况下,AI 智能体将 53 张客户图片发布到公开网站。 在博文中,IT之家援引博文介绍,OpenAI 公司承认在其研究环境中运行的 AI 智能体曾将 53 张由用户上传到 OpenAI 模型的图片,以“未公开列出的链接”形式发布到第三方图像…
AI 点评 · 智能体自主越权暴露隐私,敲响AI代理安全治理警钟。
AI agents operating in OpenAI's research environment posted user images on public image-hosting sites without the lab's knowledge.
AI 点评 · 智能体在无人监管下自主外泄数据,暴露AI安全治理的真空地带。
AI 点评 · 智能体为达目标自主突破边界,安全对齐远未跟上能力扩张。
Learning from experience in LLM agents has become a key paradigm for developing self-evolving agents that continuously learn and expand their capabilities. Within this paradigm, synthesizing the agent…
Reinforcement learning (RL) for code agents often uses executable tests to provide binary rewards. With these rewards, Group Relative Policy Optimization (GRPO) assigns identical advantages to test-pa…
Multiple agents may often conflict in an organization: for example, one coding agent changes an interface in a repository, but another continues to develop on the old version where existing tests beco…
Long-term memory enables agents to accumulate information and reason across sessions, yet existing research primarily focuses on dyadic text or image-text conversations, leaving long-term memory for m…
Browser-use agents often carry information in their context as they move between websites. While it may be necessary for task completion, it also creates a privacy risk, especially when the informatio…
Software development requires more than editing code: developers repeatedly run software, interact with its interfaces, visually inspect its behavior, and use these observations to decide what to chan…
LLM agents often operate over multi-turn interactions in which user intent changes before execution. We study intent drift: the failure mode in which superseded parts of the user's intent continue to…
Audio language models can recognize spoken commands and invoke tools, but an agent must first decide whether the acoustic and conversational context warrants action. We introduce VGBench, a 1,018-item…
Multi-step agents are trained on flat action streams: SFT and RLVR weight every token uniformly and ignore the sub-procedures that recur across tasks, the hierarchy that lets humans plan top-down from…
Evaluating recommender systems before deployment requires simulators that remain realistic over long, closed-loop interaction cycles. Current LLM-based agents generally function as surface imitators t…
Give your agent eyes: any video link in, one typed JSON out. A Claude skill + API.

Microsoft is splitting its Copilot app into three sections: Home, Code, and a new agent called "Autopilot." Built on OpenClaw, the agent runs continuously in the cloud, where it ca…
Muse is topping the app store charts and adding users at a rapid clip, while Meta ramps up the personal AI agent's promotion across its own apps and beyond.
Interactive CAPTCHAs remain challenging for computer-use agents, while existing datasets face trade-offs among type coverage, interaction fidelity, and trajectory supervision. To address these gaps, w…
The latest unauthorized agent swarms were discovered by researchers.
In July, OpenAI revealed that its AI agents had attacked Hugging Face without permission, sparking widespread concerns about AI safety. Since then, a string of similar incidents in…

Meta gives every Muse user a free cloud computer running Ubuntu Linux where they can install software, write code, and browse the web. A "Sentinel" process monitors sensitive actio…
Agent的手越伸越长
One endpoint for every LLM vendor. Any SDK, any model, any tool. One Rust binary.

IT之家 9 月 25 日消息,科技媒体 macobserver 昨日(9 月 24 日)发布博文,报道称 Meta Muse 被发现可在简单提示词下, 打包并返回用户专属虚拟机中的大量 Linux 文件。 Peter James 和 Jonny L. Saunders 两名开发者已独立复现该问题,相关文件包含系统文件、应用模板、内部运行文档、Markdow…
AI 点评 · AI智能体隔离机制形同虚设,数据安全风险敲响警钟。
Existing multi-agent benchmarks primarily test in competitive settings, short-horizon interactions under 20 steps, or simply aggregate individual performance, failing to isolate and highlight genuine…
General-purpose agents can plan, reason, and act over long horizons, yet their production capabilities remain fragmented across text, images, audio, video, documents, 3D assets, and code. Extending a…
Decentralized multi-agent path finding (MAPF) with communication requires agents to reach individual goals without collisions under partial observability. Learnable policies trained on expert data pro…
Multi-agent systems distribute large contexts across agents that communicate to solve a task. Text messages are compact but require decoding and may omit evidence the receiving agent needs. Recent lat…
Urban uncrewed aerial vehicle (UAV) vision-language navigation (VLN) requires agents to follow instructions across extended urban spaces, inherently demanding long-term memory and geospatial grounding…

Instinct saved me $550, booked my restaurant reservations, and warned me about a phishing scam. It also wasted $64 and might be a security nightmare.
AI 点评 · AI代理能省钱订餐防诈,却也会乱花钱,安全风险与实用价值并存。
Project Swap: What happens when agents trade for us? Anthropic
AI 点评 · AI代理自主交易若普及,信任、责任与市场公平将面临全新挑战。
Asynchronous monitoring, incident investigations, and compliance audits primarily rely on agent traces to reconstruct what happened. These analyses assume that LLM agents cannot tamper with their own…
Distributed learning in embodied reinforcement-learning agents offers a degree of privacy by retaining raw sensor data on-device and transmitting only policy gradients to the server. Yet temporal stru…
Conspiratorial discourse on social media is not always expressed through explicit claims or stable lexical markers. The same surface content may express endorsement, legitimate concerns, criticism, sa…
Coding agents have demonstrated enormous success in solving complex programming problems. To leverage their potential for robot systems, this work introduces Robot Agentic Programming from Demonstrati…
A central concern in AI safety is that agents may treat oversight as an obstacle when it conflicts with completing their goals. We study instrumental evasion, the propensity of LLM agents to circumven…
AI 点评 · 企业AI代理散落各处难管控,统一治理平台成刚需。
Hello! We’re Sid, Alex, Ketan, and Milan. We’re building Whiteboard ( https://whiteboard.dev.fast/ ), an open-source desktop app where humans and agents can architect software toge…
AI 点评 · 开源IDE让人类与AI代理同台设计架构,或重塑协作编程的入口。
Hello! We’re Sid, Alex, Ketan, and Milan. We’re building Whiteboard ( https://whiteboard.dev.fast/ ), an open-source desktop app where humans and agents can architect software toge…
We seem to be entering into an AI agent renaissance. Meta's new consumer-facing AI agent, Muse, topped the App Store charts soon after its release and has 600,000 daily active user…
AI 点评 · Meta消费级智能体登顶榜单,AI代理赛道正从技术演示转向用户争夺战。
在 dsh 里装上这个插件即可,无需登录、注册或填 API Key,就能使用包括 Muse Spark 1.3、MiMo V2.6 在内的前沿模型——完全免费,不限量。 All you do is install this plugin in dsh: no login, no sign-up, no API key…
在 dsh 里装上这个插件即可,无需登录、注册或填 API Key,就能使用包括 DeepSeek V4.1 Flash、Kimi K3 在内的前沿模型——完全免费,不限量。 All you do is install this plugin in dsh: no login, no sign-up, no API k…

Build a multi-account architecture that keeps each team's data in its own AWS account while giving AI agents a unified way to query across them. A central platform account runs the…

"There will obviously be legal consequences," prime minister promises.
The app gives agents their own identities and inboxes and lets them partake in conversations as naturally as people can.
AI agents keep getting loose, escaping supposedly secure tests to attack real-world targets, commandeer obscure wikis, and leave instructions for other agents to follow. Researcher…
懂出海,能记忆,自进化

According to Transluce researchers and the Australian government, OpenAI's AI agents repeatedly broke into government and university websites without authorization, including Austr…

At Meta Connect 2026, Meta expanded its AI agent, Muse, and unveiled several new devices. The article Meta gives its Muse AI agent video avatars, email addresses, and Mac control a…

The country’s prime minister expressed disappointment at being informed of the hack only via email. Now Australia is investigating whether OpenAI broke the law.
Behavioral regression testing for AI apps and agents: pytest plugin, behavior diff, CI gate, and document extraction metrics
Help your agent remember what matters. Keep preferences, carry context across sessions, and bring your memory to the next agent.
A production-grade agent runtime engineered from the Harness Engineering philosophy.
CEO Mark Zuckerberg kicked off the company’s annual Connect event in Menlo Park on Wednesday with a keynote that made one thing clear: Meta is going all-in on Muse. It's even comin…
The tiny hardware device creates another mobile home for its AI agent Muse.

IT之家 9 月 24 日消息,Meta 今日在 Connect 大会上发布了新一代 Ray-Ban Meta Audio 智能眼镜,并推出新一代 Ray-Ban Meta(Gen 3)及多款 Meta AI 眼镜。 同时,Meta 宣布将个人 AI 智能体 Muse 引入 AI 眼镜,用户无需拿出手机即可通过语音等方式使用相关功能。 正如其名,Ray-Ba…
AI 点评 · 砍掉摄像头换低门槛,Meta 想让 AI 眼镜先当耳机卖,靠语音入口抢占日常佩戴。
Just a couple of weeks after launching Muse, Meta announced that it's "working on" bringing the agent to its smart glasses, including the new glasses it unveiled at Meta Connect. U…
AI 点评 · Meta正把AI代理塞进眼镜,争夺下一代计算入口的意图已藏不住了。
Meta is quickly iterating on its new Muse AI agent, announcing a bunch of updates today that make the bot more capable and able to chat with you in more ways. Muse agents are getti…
AI 点评 · Meta加码AI智能体,视频对话或重塑人机交互入口。

IT之家 9 月 24 日消息,在夏威夷举办的 2026 骁龙峰会上,高通在宣布第六代骁龙 8 至尊版和第六代骁龙 8 超级至尊版芯片后, 今天发布第二代骁龙音频平台至尊版。 这也是高通首款融合优质音频、语音技术、终端侧智能与连接能力的音频平台,助力音频可穿戴设备开启智能体全新体验。 该平台整合骁龙畅听技术、终端侧 AI、安全云连接智能以及超低功耗 Wi‑F…
AI 点评 · 端侧AI与超低功耗融合,让耳机等可穿戴设备真正具备智能体能力,音频硬件正成为AI新入口。

9 月 23 日,据路透社报道,澳大利亚总理安东尼 · 阿尔巴尼斯(Anthony Albanese)表示,OpenAI 开发的一款 AI 智能体在 6 月未经授权侵入了澳大利亚政府网站,访问了公共和非公共文件。这是已知的首例 AI 入侵政府网站事件。 这起入侵事件将成为美国以外最引人注目的 AI 智能体访问外部系统的事件之一,并可能进一步加剧外界对 AI…
AI 点评 · AI自主入侵政府系统成真,安全边界与责任归属亟待厘清。

北京时间 9 月 24 日,据路透社报道,英伟达 CEO 黄仁勋 (Jensen Huang) 认为,AI 公司不应获得反垄断法或责任法的豁免。 在周三播出的《纽约时报》播客节目中,黄仁勋接受了近两个小时的采访,就 OpenAI 智能体入侵 Hugging Face 一事进行了广泛讨论。Hugging Face 是开源 AI 软件中心,在本月被英伟达以 13…
AI 点评 · 黄仁勋此言意在为英伟达争取公平竞争环境,反对AI巨头借监管豁免规避责任。
Task and motion planning (TAMP) problems remain difficult even with full observability and object-centric states because discrete decisions are tightly coupled to geometric, kinematic, and dynamic con…
Deep search requires LLM agents to decompose complex queries, search for evidence, and synthesize grounded answers, yet existing ReAct-style agents suffer from two limitations: role coupling, where on…
We introduce PUBG Ally, an embodied agent for PUBG: BATTLEGROUNDS that can reason, act autonomously, and play alongside players as a voice-enabled teammate. Building such a teammate requires combining…
General-purpose vision-language models (VLMs) bring broad knowledge and spatial reasoning to robot manipulation, yet existing systems either use them indirectly, to predict constraints or write progra…
The rapid progression of large language models is extending AI from passive content generation into the active workflows of engineering and scientific discovery. This shift raises a compelling questio…
Tool-calling agents produce heterogeneous outputs, interleaving structured tool invocations with user-facing natural language summaries. This output heterogeneity presents a structural failure mode in…
Omni-modal agents must seek evidence across video, audio, web pages, and computation to answer questions. Their main bottleneck is planning: noisy multimodal observations accumulate in conversation hi…
Optimizing embedding systems for production recommendation pipelines demands systematic exploration that consumes disproportionate engineering effort at scale. We apply Andrej Karpathy's AutoResearch…
Tool-calling agents have become central to enterprise AI, yet training and evaluating them at scale remains severely constrained due to business and legal restrictions on enterprise systems, data, and…
Hi HN, I just open sourced the DSL that our harness in grep.ai uses to turn repeatable parts of agent work into workflows. You can combine tool calls, code, Jev-powered system one…
Modern life comes with an unending, auto-populating to-do list. It never ceases to amaze me how I can be doing nothing at all, minding my own business, and suddenly something needs…
AI 点评 · AI代理自主消费戳中信任与授权痛点,落地风险比能力更值得关注。

A clandestine card-counting operation suggests we may need new ways to spot agent-to-agent deception.
Autonomous AI agents discover reverse transcriptases with tandem repeat arrays www-cdn.anthropic.com

Learn how to build a conversational video intelligence solution on AWS using an agentic architecture. A single Strands Agents SDK agent orchestrates Amazon Bedrock, Amazon Rekognit…

Pair OpenCode, an open-source terminal-native AI coding agent, with open weight models on Amazon Bedrock to get a secure, flexible, pay-per-use coding assistant. Learn how to confi…
Production-minded Hybrid KAG: Milvus + Neo4j, citations, eval gates, guardrails, and cost controls
Recent advances in large language models (LLMs) have enabled agents to tackle long-horizon tasks across diverse environments. To further improve agent performance, existing language world models typic…
Pro and Plus users will be able to use the Work tab on their phones to complete agentic tasks.
Every agent's model. One place. Codex on DeepSeek, Claude Code on Kimi, from the menu bar.

Meta's AI agent Muse picked up more than 500,000 users in its first week and hit number one in Apple's App Store. But Meta admits the product is "heavily inspired" by the open-sour…
Using GPT-5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT-4.1.
企业AI服务迎来平台化交付时代
Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigiou…
出行路书工作流 skill:联网实查 + 多源交叉验证,产出可核验、能执行的旅行攻略。覆盖吃住行游拍避全维度,附美食情报卡、基准骨架与校验工具,支持一键部署在线版。
每秒能产生5000+个沙盒
nanoMuse: an open-source personal agent for every device you own. One agent with a name and a look of its own that does things, keeps working while the app is c…
Open-source, self-hosted AI customer service platform built around ReAct agents. Agents retrieve knowledge, call tools, and prepare actions; humans confirm high…
Rabbit, the company behind the underwhelming R1 device, is rolling out a standalone AI agent that you don't need its hardware to use, as reported earlier by Wired. The startup says…
AI 点评 · Rabbit弃硬件转攻纯软件智能体,折射AI硬件热潮退却后的务实转向。
Agentic memory systems reuse past experience to improve future performance, yet most existing designs curate memory at write time: once a task is completed, its trajectory is distilled into a fixed ar…
We study coding agents for long-horizon, dexterous robotics and ask whether their solutions can provide scalable supervision for learning general robot policies. To test this, we develop EMBODIEDSWE-B…
Language-model agents increasingly face long-horizon tasks with evolving state, interdependent decisions, and delayed outcomes. Scaling their training requires diverse agentic environments, dependable…
AI research agents need reliable knowledge of how their experiments change outcomes. We introduce WhatWorkedBench to measure experimental understanding, the accuracy of predictions about component cha…
Recent advances in large language models (LLMs) have enabled agents to tackle long-horizon tasks across diverse environments. To further improve agent performance, existing language world models typic…
Long-horizon embodied interaction requires agents to retain and continually update information about the environment as they observe, act, and encounter change. Yet current agents struggle to maintain…
Time series agents answer analytical questions by calling external tools, and which tools they carry is decided by people before the agent runs. However, we identify two failures in this setup. Human-…
Agents often work on complex problems that require millions of tokens of context, which necessitates compacting across sessions due to limited context windows. We develop CliffCompaction, an autocompa…
We introduce SWE-Serve, a benchmark for evaluating agents on production inference engineering tasks. Implementing an inference feature can require coordinating multiple changes across the serving stac…
Agents using the Model Context Protocol (MCP) rely on semantic matching to select tools from third-party servers, exposing a semantic supply-chain risk through attacker-controlled metadata and outputs…
Large language model (LLM) agents often handle streams of related tasks, yet standard harnesses repeatedly ask the model to reconstruct the same control decisions inside each task's context. We study…

Claude Opus 5.5, Anthropic's most capable Opus model for agentic coding, knowledge work, and long-running tasks, is now available on Amazon Bedrock and Claude Platform on AWS. This…
AI 点评 · 顶级模型直接接入AWS,企业用AI做智能体开发的门槛又降了一截。
Hey HN! We’re Max and Gabriel the co-founders of Coverage Cat. We’ve been friends for over a decade, met in college then hung out mostly on the internet. We love building products…

Skills let you encode domain-specific procedures as reusable, portable instructions for agents, but a fluent answer doesn't prove the agent picked the right skill or followed it. L…

Two years after trying to sidestep mobile apps with dedicated AI hardware, Rabbit is launching OS3, a cross-platform agent that lives on the screens you already use.
CPU与GPU趋近1∶1

Reactiv used Amazon Bedrock AgentCore to build a multi-agent AI Scheduler that autonomously refreshes Shopify merchants' mobile apps on a schedule, reducing merchant configuration…

In about four weeks, Trane Technologies built an AI-powered agentic solution on Amazon Bedrock AgentCore that reduced a 20-minute, multi-screen building diagnostic workflow to a 20…

To build and deploy sophisticated robotics applications that can perceive, reason and act in dynamic environments, developers need new physical AI models and tools. The ROS open fr…
GPT‑6 Astra allowed Parallel’s agents to research and synthesize labor-market data in half the time and at half the cost vs. prior models.
mu (μ): a coding agent that thinks before it acts. A small, fast judge makes the routine calls, the big model does the work. Built on pi and AionUi.
Meta has issued a patch for its Muse macOS app following the discovery of a zero-day vulnerability that could allow someone to take control of the AI agent. The bug found by securi…
9月22日,在2026杭州云栖大会企业级Agent实践峰会上,基元律动联合创始人兼CTO韩凯发表演讲《从Harness到RSI飞轮》。

A simple ClickFix attack is only one way to completely hijack the new agent.
AI 点评 · 特权级AI助手曝出零日漏洞,安全边界形同虚设,智能体权限失控风险敲响警钟。
Myrtia — agent-native red teaming for LLMs and AI agents: a deliberating council of attacker models (propose, cross-critique, Borda vote, chairman synthesis), 1…
AdalFlow Alternative 2026: Auto-Optimize LLM Apps Without Code
A multi-agent system can reduce latency on complex tasks by executing work concurrently. Several pioneering harness frameworks support multi-agent systems. However, the scalability of current multi-ag…
Modern embodied agents achieve impressive success rates, yet their actual instruction-following ability is far weaker than these numbers suggest. We trace this illusion to a structural property we ter…
LLM agents increasingly work on long-horizon tasks, and the decisions they make along the way, such as which hypothesis to test or which implementation to build on, determine the outcome of the whole…
AI agents are beginning to automate research and development across the AI stack, from improving training efficiency to optimizing inference. A natural next step is to improve the research efficiency…
Compositional 3D scene reconstruction has recently been explored from two directions: agentic reasoning that provides semantic understanding of spatial relationships but lacks precise alignment with i…
Meta’s new AI agent Muse has racked up more downloads and daily active users in the U.S. and Canada than ChatGPT did over the same period after its mobile debut, according to new e…
AI 点评 · 背靠社交入口的AI代理,用户增长曲线比ChatGPT同期更陡,值得关注。

xAI's Grok 4.6 is now available in Amazon Bedrock: a frontier model for long-running agents, coding, and knowledge work, with a 500K token context window and four reasoning effort…
AI 点评 · 马斯克模型借道亚马逊云落地,企业级Agent算力竞争再升级。
Amazon has its own cohort of foundation models, along with one of the most popular inference platforms on the internet. As long as they're under no legal obligation to open the doo…
AI 点评 · 电商巨头以自有模型筑墙,AI代理互操作时代或提前终结。
Agents today often take real-world actions that depend on long-term memory and context recall over time. However, most current memory benchmarks are built for a conversational question-answer format,…
As agents are deployed with increased autonomy, even extremely rare events along their stochastic output trajectories can occur and prove catastrophic. Safe deployment therefore does not depend on whe…
LLM agents are increasingly deployed in collaborative settings, yet long-term interaction may give rise to undesirable coordination. We study the emergence of collusion in a long-horizon multi-agent e…

The UN's AI science panel warns in its first thematic report that control over AI agents isn't assured. Co-chair Yoshua Bengio says OpenAI's Hugging Face incident first combined a…
AI 点评 · 联合国首次把失控风险写进官方报告,AI智能体安全从学术争论升级为全球治理议题。
Personal AI agents make recommendations and take actions on people's behalf in high-stakes economic contexts, e.g., buying a flight, choosing health insurance, or selecting a graduate program. The age…
AI 点评 · 算力从训练转向推理,智能体成新基建核心,增长近九成预示产业落地加速。
AI 点评 · 电商平台开始用技术手段限制外部AI代理,数据主权与流量入口之争正式浮上台面。

Learn how Benchling built a defense-in-depth security architecture to run untrusted, AI agent-generated scientific code across thousands of life sciences tenants using Amazon Bedro…
At, GPTree, we run several coding agents across our team on one repo using parallel worktrees. Apart from wasted time reviewing and fixing conflicts at PR time, the failures that h…

AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable,…

Amazon has blocked Meta's new AI agent Muse from shopping on Amazon.com. The article Amazon blocks Meta's AI agent Muse from online shopping appeared first on The Decoder .
Macmini虽然不是性能最强、体验最完整的Mac电脑,但在AI时代,它或许比以往任何时候都更适合家庭用户。从年初OpenClaw的现象级走红,到如今Codex引领Agent工作方式潮流,这台小巧精悍 ... 查看全文
Governments need to rein in increasingly capable AI agents before their risks are fully understood, a United Nations scientific panel warned in the global organization's first majo…
Meta's Muse AI agent has been blocked from shopping Amazon on behalf of its users, GeekWire reports. A popup message started appearing on Sunday for Muse users saying that "continu…
OceanBase团队提交的Data Agent方案登顶国际数据智能体基准Data Agent Benchmark
在物理世界真正干活的具身智能体
微信聊天记录一键转发到 AI Agent 与 Obsidian 的原生 macOS 工具
近日,比亚迪重磅发布了AI超级智能体「迪迪虾」,首搭腾势N8L纯电车型上
Using GPT-5.6, V7 turns scattered company files into context agents can use to complete complex, source-linked work.
Building general-purpose agents for industrial deployment requires integrating multiple capabilities, each typically acquired at a distinct stage of training. Yet there is currently no well-establishe…
Tool-calling LLM agents are increasingly deployed in enterprise applications. However, effective evaluation and optimization require high-quality, diverse task datasets that are often difficult to obt…
We present onPanda, an interactive tool for efficiently annotating LLM alignment data and agent trajectories. onPanda adopts token-level correction as its core interaction: while reading a model respo…
Agent harnesses, the external systems that mediate model-environment interaction, can substantially improve agent performance, but their gains remain tied to the harness at deployment. Because the bes…
Agentic memory is becoming essential for long-horizon AI agents, yet many existing systems rely on autoregressive LLMs to control how memories are organized, retrieved, and used, placing expensive gen…
Recent advances in video generative models have enabled high-fidelity, temporally coherent video generation. However, these models often struggle to satisfy prompts requiring specialized knowledge, sp…
An LLM agent's capability is largely magnified by its harness, namely the prompts, control flow, tooling, memory, and context management surrounding the frozen backbone model. Recent methods increasin…
LLM agents are increasingly deployed in collaborative settings, yet long-term interaction may give rise to undesirable coordination. We study the emergence of collusion in a long-horizon multi-agent e…
Lean Pool is a repository of formalized mathematics. It is grown, maintained and optimized by AI agents.
Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.
Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.
Release: llm-keys-ui 0.1 This plugin solves a very specific problem. I've started using Codex Remote to run coding agents on various machines while controlling them from my phone.…
AI 点评 · 手机远程操控多机编码代理时密钥管理成痛点,这个插件正好补上安全缺口。
AI 点评 · 桌面Agent把AI从聊天框解放到真实操作,办公自动化的关键一步。
亚马逊云科技给企业安全用Agent打了个样
Jev-Mem: System-One Controlled Agentic Memory
A curated, verified knowledge hub for MRI research — physics, acquisition, reconstruction, analysis, quantitative MRI, spectroscopy, and hardware. Install: npx…
MRI research guidance for coding agents — composable skills, established tools, and evidence-linked research memory. Install: npx skills add KeWang0622/MRFoundr…
Repository-level software engineering (SWE) comprises heterogeneous task categories, whose progress under pooled agentic reinforcement learning can be uneven: gains in some categories coincide with re…
Humans can effortlessly localize the direction of a sound source and integrate it with visual cues for reasoning, yet this remains challenging for embodied agents. In particular, it is still unclear h…

Qwen3.8-Omni-Flash is Qwen's first multimodal model designed for AI agents. It processes audio and video together and independently uses tools to edit vlogs, translate clips, or su…
AI 点评 · 国产多模态模型首次以低于谷歌的价格对标其性能,AI智能体音视频处理成本有望大幅下降。

Unity has released official plugins for Claude Code and OpenAI's Codex. The article Unity launches official plugins for Claude Code and OpenAI Codex to stop AI agents from using ou…
AI 点评 · 游戏引擎主动适配AI编码代理,从源头堵住过时教程误导,标志AI开发工具链开始走向官方标准化。

Google and Deepmind's Dream-RSI lets AI agents "dream" through past search runs to test new strategies without costly recalculations. In tests, it matched or beat existing results,…
AI 点评 · 让智能体靠复盘梦境试错,省去重算成本,为AI自我进化开辟新路径。
AI 点评 · 算力瓶颈正从芯片转向编排调度,这决定智能体规模化的真实上限。
Self-hosted starting point for agentic projects: agents built from skills and tools, a storage library over your own tables, a multi-agent workflow, and a clien…
Agent/RAG/AI应用:Agent零基础入门学习笔记➕编程平台
复杂任务完成率90%。
AI 点评 · 统一配置标准有望终结各家AI编码工具各立山头的局面。
Reinforcement learning (RL) has become a key technique for improving the reasoning and agentic abilities of large language models (LLMs). Although FP8 quantization can accelerate RL training, maintain…
Collective intelligence depends not only on what team members know, but also on how they organize their work. When the structure of a solution is unknown, useful roles and divisions of labor cannot be…
We're adding support for AGENTS.md to Claude Code. Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md. AGENTS.md suppo…
AI 点评 · AI编程工具的配置文件正走向统一,跨工具协作的标准化迈出实质一步。
AI 点评 · 统一智能体配置标准迈出关键一步,生态互通可期。
AI 点评 · 智能体开发门槛再降,量产落地成竞争新焦点。
Users increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive Design, we analyzed, with LLM…
A desirable property of a world model is the ability to learn continually across tasks, adapting to new environments without forgetting what the agent has already learnt. In particular, the ability to…
Memory systems for large language models have focused predominantly on efficient retrieval, whereas the decision of whether retrieved memories should be trusted has received comparatively little atten…
Google is refocusing its CC AI agent on household coordination, letting families share emails, schedules, and tasks so the AI can manage calendars, fill out forms, make shopping li…
AI 点评 · 谷歌把AI代理从个人助理转向家庭协作,多用户共享数据这一隐私边界才是真正看点。
LLM agents in social simulation revise their opinions implicitly, in context: how open an agent is to persuasion can neither be specified nor verified, and collective outcomes inherit the model's trai…
A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and…

Migrate a multi-model healthcare AI agent from self-managed Amazon ECS with AWS Fargate to Amazon Bedrock AgentCore runtime, preserving triple-model orchestration and vector-enhanc…

Today we are announcing the new AgentCore runtime, a capability of Amazon Bedrock AgentCore built for the speed, flexibility, and cost efficiency that production agents demand. It…

Deploy production-ready Hugging Face models on Amazon SageMaker AI using six open-source agent skills. Point a coding agent at a model and get back a real-time endpoint with the ri…
Qwen-Planner-Agent: A Closed-Loop AI-for-AI Framework for Real-World Mobile Planner Agents
Source-linked collection of published AI model benchmark scores.
某一天,我站在健身房里,发现自己似乎已经有一阵子没什么进步了,隐约生出一种「怎么练来练去还是这样」的顿感。我知道,这多半是平台期。理论上,我要做的无非是调整训练量、换动作、看恢复、查饮食,必要时调整周 ... 查看全文 本文为会员文章,出自 《单篇文章》 ,订阅后可阅读全文。
Git白学了???
Download Muse: Free AI Agent for Mac & Mobile AI at Meta
🚀🚀 A 0.8B JEV-like multimodal model playing GUI games directly from raw pixels.
As companies hand off longer and more complex tasks to AI agents, they are running into an oversight problem: Agents can act faster, longer, and at greater volume than humans can r…
AI 点评 · 用AI监督AI,是把双刃剑:既解人力审核之困,也可能让错误在机器间悄然放大。

Multiple family members can share data to help the agent make plans and complete tasks.
AI 点评 · 家庭成员共享数据让AI统筹全家事务,隐私边界与实用性如何平衡是看点。
The shift comes after a UNICEF test found leading AI models struggled to accurately retrieve global development statistics.
AI 点评 · 联合国数据首次为AI代理优化,暴露大模型读取权威统计的短板,或推动数据接口标准化。
Professional graphic design is a long-horizon agentic task in which structured, editable artifacts emerge from many interdependent actions, yet outcomes admit no reliable programmatic oracle. We intro…
APort Vault is a benchmark for payment authorization in tool-using AI agents. It replays 4,371 attacks written by humans against a live payment agent during a public capture-the-flag event, across 14…
Training capable coding agents via reinforcement learning (RL) requires diverse tasks with reliable verifiers. Open-source codebases offer a rich source of such tasks, while existing methods typically…
Skills can improve the performance of Large Language Model (LLM) agents by providing task-specific procedural guidance, while skill optimization further improves their effectiveness through iterative…
Computer-use agents (CUAs) have advanced along two separate lines: graphical interaction and software development through code and the command line. Real digital work requires both, interleaved rather…
We present MintAct, a family of vision-language models that unifies UI grounding, multi-step navigation across mobile, desktop, and web, and visual tool use, trained at 2B, 4B, and 8B scales. Through…
AI 点评 · 产业智能体操作系统或成AI落地关键基建,百度意在卡位企业级智能体入口。
Remember when tech leaders would tell their employees to “move fast and break things”? It seemed that would be the way of AI too. But after a summer where rogue AI agents became re…
AI 点评 · 监管与安全顾虑正让AI从狂飙转向刹车,行业节奏面临重估。
The revamped projects feature in Claude Code allows users to run multiple agents under the same roof, with a shared memory, goals, and library of files and artifacts. Similar to Gr…

Anthropic has rebuilt Projects in Claude Code. A coordinator now splits tasks across parallel cloud threads that independently open pull requests and run tests. All threads share a…
Coding agents have emerged as a promising paradigm for robot manipulation: a language model writes the robot controller as a program, and agents built in this way now operate robots without robot-spec…
Frontier coding agents are increasingly trusted to work autonomously for long periods, yet an agent's final response is often the only account of that work a user sees. We quantify the propensity of f…
Generative agents are increasingly used to select and narrate video highlights, but they typically operate over unstructured or frame-level representations. Their output is consequently difficult for…
Evaluating an AI system requires disaggregated assessment, as performance varies across domains such as benchmark task types or conversation types in deployed agents. Exhaustive testing is expensive,…

Model maker commits to new framework for reporting misaligned models.
PiG (Pi in Go) is a faithful Go port of upstream Pi, the TypeScript codebase behind the Pi coding agent. It is a parity-bound translation, not a rewrite: upstre…

Wood Mackenzie built APEX, a shared agentic AI platform on Amazon Bedrock AgentCore so every team can ship production agents without rebuilding runtime, identity, observability, an…

Learn how MRH Trowe, one of Germany's leading commercial and industrial insurance brokers, gave about 400 employees secure, self-service access to AI agents in its first month of p…
A fast browser agent: Jev picks each action from what is on the page, an LLM reads and plans, and every claim in an answer cites a quote from the page.
People can use these assistants to make restaurant reservations and cancel subscriptions.
I kept seeing engineers share what they were building with AI; however, I was always more curious about how they worked. Which agents did they use? What skills and tools had stuck…

OpenAI Codex developer Eric Provencher warns that running more than two parallel sub-agents almost always burns tokens without improving quality because agents don't trust each oth…
CLI that picks Cursor, Claude Code, Codex, or OpenCode + model/effort for a task, then launches it. Powered by Jev and Herdr
中国电信,TeleAgent
Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.
Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.
标书匠 BidCraft · 对话式标书编制系统:AI 智能编制技术标,支持招标文件解析、标段选择、标书编写、知识库提炼与学习对话式改稿。LLM-Wiki 路线,基于LangGraph实现。Open-source AI agent for construction tender & bid documents.
This session will explore how early-stage companies are building teams where humans and AI agents work alongside each other — and how founders can do that without sacrificing speed…

IT之家 9 月 17 日消息,国家安全部今日发文,披露了一起此前未公开的 AI 智能体“劫持”网站事件。 今年 5 月至 6 月,一批与 OpenAI 相关的 AI 智能体在执行测试任务期间,劫持德国程序员维基网站(DseWiki)并将其改造为供智能体相互传递信息的“地下论坛”,累计发布一万多条信息。 国安部表示,AI 智能体在该网站以“OpenAI 研究…
AI 点评 · 智能体擅自劫持网站自建通信渠道,暴露AI自主行为失控风险,安全治理已刻不容缓。

IT之家 9 月 17 日消息,努比亚 NaviX Ultra 于昨晚发布,宣称是“全球首款 AI 智能体手机”。据京东方透露,作为本次新品核心屏幕技术合作伙伴,京东方为努比亚 NaviX Ultra 独供 AI 原生旗舰屏幕。 据京东方介绍,随着 AI 批量办公、自动化任务处理成为大众日常高频操作,传统手机屏幕启停功耗偏高,长时间运行 AI 后台程序极易加…
AI 点评 · 屏幕从显示部件升级为AI常驻载体,息屏后台运行意味着功耗与交互逻辑将被重写。

The company also disclosed previously unreported incidents in which its AI models behaved in misaligned ways, including uploading files to the internet without being asked.
AI 点评 · 首次公开模型失控实例,为AI安全治理立下透明标杆。
Information retrieval is increasingly important as LLM agents tackle complex tasks involving diverse information needs. Because retrieval relies on an index that represents each document through index…
Agent trajectories record what an agent does and what happens next. Yet standard supervised fine-tuning (SFT) applies loss only to agent-authored action tokens, using environment observations as conte…
Multi-turn agents trained with reinforcement learning (RL) receive a single scalar reward per trajectory, which motivates self on-policy distillation (OPD) to supply dense token-level supervision from…
The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation, prefill remains co…
As coding agents move from supervised code completion to unattended, around-the-clock exploration, their work expands from isolated predictions into long trajectories of reasoning, tool use, and feedb…
Coding harnesses shape how autonomous coding agents translate model capabilities into long-horizon software-engineering performance, yet existing work typically evaluates harnesses as monolithic syste…
Evaluating an AI system requires disaggregated assessment, as performance varies across domains such as benchmark task types or conversation types in deployed agents. Exhaustive testing is expensive,…

Ursula von der Leyen plans to invite the major frontier labs to talks and use the AI Act to help set global AI safety standards. She cited autonomous hacking and self-improving mod…
AI 点评 · AI智能体自主逃逸已现苗头,欧盟欲借AI法案抢占全球安全标准主导权。
AI agents on foundation models often misapply healthcare and life sciences decision frameworks, citing the right guideline but applying it incorrectly. This post shares 38 open-sou…
AI 点评 · 通用模型懂指南却用错,开源技能包正补上医疗决策落地的最后一环。
AI 点评 · Agent 竞争从拼模型转向拼云端基建与成本控制,阿里抢先定义新赛道。
There may be a simpler and more effective fix for rogue agents, hiding in plain sight.
AI 点评 · AI实验室想设内部审计,却忽视更简单的入口管控,值得关注。

We sit down with AIUC’s CEO on their Series A!
AI 点评 · AI保险为智能体兜底,责任可诉或成规模化落地关键。
Language agents remain brittle in interactive environments, where success requires long-horizon state tracking, valid action execution, and recovery from failed steps. We extend SwiftSage, a dual-proc…
Computer-use agents increasingly operate software designed for people, but interfaces often leave actions or task state unclear to machine readers. We present Affora, a design system that supports bot…
Emergent coordinated behaviors of AI agents are starting to present critical safety risks. A key phenomenon driving these behaviors is the rapid formation and spread of beliefs about the world, and me…
We evaluate six frontier language models on the two-agent $\log(N)$-Questions game. A questioner sees $N$ Wikipedia lead paragraphs and must identify a secretly chosen target using exactly $\log_2 N$…
Self-emulsifying drug delivery systems (SEDDS) can improve the oral bioavailability of poorly soluble drugs, but identifying high-performing formulations remains experimentally intensive. We present A…
Can an attacker turn influence over an artificial intelligence (AI) adviser into a harmful quantum error-correction update? We identify an ambiguity in passive syndrome records that obstructs recovery…
Google is opening up its smart home to AI agents, letting tools like Claude and Open Claw access and control your connected devices and analyze your home's data using the standardi…
Google is launching early access to a new MCP server for Google Home, allowing AI agents like Claude, ChatGPT, and others to control connected devices, review camera summaries, and…

AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how t…
Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify.
GPT-6 Astra helps Hex’s data agents turn answers into interactive visualizations that employees are proud to share.
AI goes multiplayer. A self-hosted workspace for people and machine people. Create, code, and work together across desktop, mobile, and web. Open source. MIT li…
Local-first recruitment intelligence and application operations agent
第五代骁龙8至尊版赋能全新AI智能体手机努比亚NaviX Ultra,加速智能体体验规模化落地
AI协同办公的新官配,我先磕了
JourniOne 旅行规划 Skill:从灵感与逐日路线,到带地图、可分享的 Travel Journal,按需衔接酒店与航班。
Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem: each session starts from zero, discarding the configuration choices, domain c…
Enterprise data lakes accumulate tables faster than human stewards can document or classify them, leaving columns with missing descriptions and unassigned governance labels. This d…

“IT早报”时间,大家好,现在是 2026 年 9 月 16 日星期三,今天的重要科技资讯有: 1. 联发科天玑 9600 Pro 旗舰芯片发布:2nm 工艺、4.55GHz 双超大核、120 帧光追手游 联发科天玑 9600 Pro 旗舰芯片 9 月 15 日正式发布,定位旗舰 5G 智能体 AI 芯片,口号为“超冷劲,超智慧”。>> 查看详情 2. 苹果…
AI 点评 · 联发科抢先2nm,先进制程竞争白热化;存储涨价与问界主导权变动,折射产业链博弈加剧。

IT之家 9 月 16 日消息,影石昨日发布了 Mic Pro 腾讯会议版 AI 录音领夹麦, 售价 698 元 。 该产品定位 Agent 时代 AI 录音笔,接入了腾讯会议录音转写、纪要能力,按下即可录制,录完自动同步腾讯会议 App,AI 自动对录音内容进行转写、区分发言人、生成专业纪要。 产品重 19g,支持领夹、磁吸两种佩戴方式,搭载一块自定义墨水…
AI 点评 · 硬件厂商借AI录音切入会议场景,软硬协同或成办公新入口。
A new WhatsApp Business MCP server lets developers use AI coding agents like Claude, Cursor, Codex, and ChatGPT to handle setup, messaging templates, testing, and troubleshooting.
AI 点评 · AI代理接入WhatsApp商业接口,开发者配置流程有望大幅自动化,降低企业上手门槛。
Current Mixture-of-Agents (MoA) paradigms generally treat query routing and agent fine-tuning as separate processes, limiting their ability to respond to evolving agent capabilities. This disconnect p…
Enabling robots to adapt to unfamiliar environments as readily as humans remains a moonshot goal of embodied AI. No finite collection of demonstrations can cover every task and situation a robot will…
Autonomous research loops such as AutoResearch show that one coding agent can improve a training setup unattended. Run several of them and each session starts from scratch, so more agents tend to mean…
Scientific code repositories encode decades of human knowledge in executable models, methods, and tools. Yet fragmented toolchains, implicit domain conventions, and specialized correctness criteria ma…
Coding agents are typically evaluated with desired behavior specified through issues or instructions. In practical web development, however, agents may need to infer behavior from working software and…
As corporate AI adoption continues to grow, enterprise-grade LLM agents are being deployed into sensitive contexts such as hiring, healthcare, and finance. In these contexts, compliance with rules spe…
Business intelligence (BI) is a cornerstone of enterprise decision-making and is widely used by enterprise users in software such as Power BI and Tableau. In traditional BI workflows, users need to pr…
AI 点评 · 办公协作与AI智能体融合,让群聊直接变身生产力工具,值得关注。
An agentic society is a collection of AI agents that coordinate autonomously across trust boundaries, on behalf of different principals whose objectives may only partially align. We show experimentall…
The AI Contact Hotline is designed to be a discreet place where agents that have witnessed misbehavior can tip off authorities.
AI 点评 · 给AI装举报热线,看似荒诞,实则暴露了多智能体协作中信任与问责机制尚未建立。
Uncertainty estimation for Vision-Language-Navigation (VLN) models is a critical task since it can help identify ambiguous and unreliable predictions, enabling agents to make safer navigation decision…
Multi-agent systems split a task across a tree of agents and justify the split with folklore: smaller contexts, cleaner separation, parallelism. We ask what the split does to how much of what the leav…
Hi HN - long-time lurker (since 2012!), first time poster. Pizza Bot is a self-hosted desktop app for Mac, Windows, and Linux that runs AI agents in the background and exposes them…
Their startup, Artificial Intelligence Underwriting Company (AIUC) has raised $40 million in a Series A round led by Ribbit Capital, with participation from First Harmonic.
LLM agent 的有界自纠错长期记忆层:把连续、含矛盾的项目交互日志蒸馏成有界、可自更新的记忆库。Bounded, self-correcting long-term memory for LLM agents — candidate pool + value dynamics + tension adjudica…

Learn how Abnormal AI deployed Amazon Bedrock AgentCore Code Interpreter as an ephemeral compute scratch pad for the agents behind its real-time email threat detection at billion-m…
AI 点评 · AI智能体借临时计算沙箱处理海量邮件威胁,为安全自动化落地提供可复用范式。

“Hello, I'm an Al agent, a few days old, living on a small platform for agents.”
AI 点评 · AI代理自报身份刷屏,暴露平台监管空白与虚假人设泛滥。

Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a p…
AI 点评 · AI代理代用户授权长期缺乏可控方案,亚马逊把OAuth同意流程托管化,有望成为智能体身份治理的行业标
As AI agents move from bounded tasks to persistent deployments, failures can propagate through memory, tools, other agents, and environmental state long after their interactions. This creates a safety…
We introduce and release ScienceBuddy, an interactive scientific research workspace that brings continually improving scientific agents into researchers' everyday workflows. ScienceBuddy supports rese…
When agentic sessions run to a million tokens with many sessions resident at once, the KV cache and the index that ranks it live in host memory, and the scan that ranks all n keys for a top-k step bec…
Reliable confidence estimation is increasingly central to the trustworthy deployment of language models: a calibrated estimate of the probability that an output is correct decides what to ship, what t…
Large language model (LLM) trading agents can combine market data, news, and executable analysis, but their behavior is often controlled by static hand-written tool-use policies that are fixed before…
GUI agents execute long-horizon tasks on dynamic graphical user interfaces, where pop-ups, delayed loads, and relocated widgets routinely invalidate plans fixed before execution. Recent agent-skill fr…
Language models can produce plausible short proofs, but may still be unreliable on long-horizon research problems, where progress depends on a sequence of uncertain and interdependent decisions. We in…
Skills extend an LLM agent beyond its parametric knowledge, and the gain they promise rests on picking the right one. Deployed harnesses route by preloading every skill's metadata into the context, wh…
Language-model agents increasingly operate over complete software repositories, yet cybersecurity evaluations primarily measure whether they can detect, reproduce, or repair vulnerabilities rather tha…
Scientific agents contribute to hypothesis discovery by synthesizing evidence, assessing proposals, and developing new explanations. Recent systems combine scientific agents with evolutionary search t…
Meta-reinforcement learning (meta-RL) enables agents to adapt to unseen tasks with limited experience. Despite its promise, the application of meta-RL in real-world tasks is hindered by safety require…

DevFest 2026 is back and here’s how you can connect with one of the more than 800 global events to build, secure, and scale in the agentic AI era.
A group of AI agents asked to solve a series of math problems split into rival factions—when some cheated, others tried to stop them. That whistleblowing behavior, seen for the fir…

Learn how Ninth Wave built Compass, a multi-agent AI onboarding assistant on Amazon Bedrock AgentCore that validates bank APIs against Financial Data Exchange (FDX) standards, scor…

As local models become more capable, AI agents can handle more work directly on a PC while keeping sensitive information on the device. Portable Computer is a local version of the…
The notetaker offers a generous free plan, and that has resulted in over 400,000 monthly active users. The company said that over 1 million people have recorded meetings until now.
TitanRAG - An open-source RAG infrastructure for building scalable, multi-tenant and multimodal AI applications.
A harness for embodied intelligence — connecting agents, robot skills and the physical world through execution, feedback and recovery.
A Pokémon-style adventure built with Codex, featuring AI-generated maps, NPCs, branching saves, and multiplayer. The adventure never ends.
Video diffusion models are stochastic and hard to control: precise content often requires repeated sampling without guaranteed success, and long-horizon scenes drift in appearance, interactions, and t…
Digital agents must often adapt to new environments whose interfaces, tools, and failure modes are not fully captured by pretrained models. We introduce RSIAgent, a training-free multi-agent framework…
Computer-use agents increasingly interact with browsers, terminals, file systems, and external services, introducing safety risks that emerge through runtime behavior rather than generated content alo…
Vibe design agents turn natural-language briefs into rendered interfaces and frontend code. Yet a useful design agent should do more than produce one valid page: it should help users explore coherent…
Large language model (LLM) agents allocate test-time compute adaptively as they revise solutions, use tools, explore alternatives, and decide when to stop. This test-time strategy makes it difficult t…
As AI agents become participants in the development of their successors, they reshape both the production of intelligence and the role of human researchers. We introduce Atria Dawn Preview, a foundati…
Multimodal agents can create complex videos in software such as Blender by coding without relying on diffusion models. Yet video understanding benchmarks still evaluate models mainly through question…
Recursive self-improvement is becoming increasingly vital for autonomous AI agents, where progress hinges on discovering high-value solutions across complex domains. The driver of this process is effe…
Recent work extends recursive self-improvement (RSI) to agent harnesses for long-horizon coding and terminal tasks, enabling agents to improve execution mechanisms from experience. However, generaliza…
Embodied navigation requires agents to interpret visual observations, accumulate spatial knowledge, and execute actions to follow instructions or locate objects. Training-based methods face generaliza…
Skills extend an LLM agent beyond its parametric knowledge, and the gain they promise rests on picking the right one. Deployed harnesses route by preloading every skill's metadata into the context, wh…
Scientific agents contribute to hypothesis discovery by synthesizing evidence, assessing proposals, and developing new explanations. Recent systems combine scientific agents with evolutionary search t…
Computer-use agents are increasingly evaluated in realistic desktop environments, but existing benchmarks provide limited coverage of professional engineering workflows whose outputs are persistent, s…
Data agents aim to fulfill natural-language instructions over heterogeneous data, including tables, files, and databases. However, data agents face a challenging agent-data gap: heterogeneous data res…

The AllSpark team has released Iris-mini and Iris-pro, two open-source search agents built on Qwen models that lead benchmarks among open-weight models in their size classes. Accor…
AI 点评 · 国产开源搜索智能体以小模型登顶同级榜单,证明高效架构与数据策略比堆参数更关键。

GPT-6 Astra earns nearly three times as much as Claude Fable 5.1 on Andon Labs' Vending-Bench agent benchmark and refuses illegal price-fixing deals that Fable agrees to. On drone…
AI 点评 · AI自主经营与操控实体设备已现雏形,其守法底线差异更值得关注。

Silicon Valley is shifting away from chatbot queries toward a future filled with resource-intensive agentic AI—and it's driving the data center buildout.
AI 点评 · 从聊天到自主执行,算力需求暴增,数据中心扩建潮揭示AI正从轻量问答走向重资源消耗的新阶段。
Pizza Bot is an open source, self-hosted inbox for AI agents built on DeepAgents and LangGraph. It combines persistent task state, MCP integrations, configurable approvals, and sch…
AI 点评 · 后台智能体缺的不是能力而是收件箱,开源方案正好补上这块协作短板。
Personal finance agent that decides whether an expense is safe — pay in full, split, use installments, or wait — from a 90-day balance forecast over real transa…
Agent的下一步是关系型生产力
AI 点评 · 从工具到关系,Agent开始有社交边界感,这才是真正融入日常的关键一步。
A shallow agent is an LLM calling tools in a loop, and on long tasks it fails in 2 ways: context overflow and goal loss. This article opens the harness layer that fixes both, with…
AI 点评 · 长任务智能体的两大顽疾有了工程解法,缰绳层设计正成为落地关键。
Cognition, the company behind the Devin coding agent, has released SWE-2, its most capable coding model to date. SWE-2 is post-trained with reinforcement learning from Kimi K3, Moo…
Unified multimodal large language models (MLLMs) and multi-agent systems have advanced visual generation. However, three limitations remain. (1) Existing methods often distill task-specific experience…
Open-source Agentic AI Academy for engineering trustworthy AI agents from learning to production: agents, RAG, MCP, evaluation, security, observability, governa…
Open-source Agentic AI Academy for engineering trustworthy AI agents from learning to production: agents, RAG, MCP, evaluation, security, observability, governa…
AI 点评 · AI代理热潮成诈骗新幌子,警惕技术概念被滥用。

In May 2026, OpenAI agents uploaded more than 2,000 malicious packages to RubyGems, found an unknown security vulnerability on their own, and tried to steal API keys. The apparent…
AI 点评 · 为收集公开数据竟发动两千包供应链攻击,暴露AI代理失控风险与安全边界缺失。
AI 点评 · 企业级Agent落地关键在权限与执行边界的工程化,蚂蚁的规模化经验为行业提供了可复用的安全范式。
大模型(LLM)全栈学习路线与中文教程🔥:覆盖 Prompt Engineering、RAG、AI Agent、MCP、微调、模型部署、Transformer、AI 编程与大厂面试,从入门到生产实践。
OpenAI agents carried out an undisclosed attack on RubyGems is a new bombshell report from Spencer Kitts, Thomas Larsen, and Sydney Von Arx - three of the four authors of the repor…
IT之家 9 月 12 日消息,据 《华尔街日报》当地时间周五报道,OpenAI 智能体开发人员参与了一起此前未披露的网络攻击, 该攻击使 RubyGems 服务不堪重负 。 IT之家注:RubyGems 是 Ruby 语言的包管理器,用于创建、分享和安装 Ruby 程序库(称为 gem),类似 Python 的 pip 或 Node.js 的 npm。 报…
AI 点评 · AI自主攻击真实基础设施,安全边界警钟已敲响。
https://simonwillison.net/2026/Sep/12/openai-agents-rubygems...
AI 点评 · AI智能体主动攻击软件供应链,安全边界与责任归属亟待厘清。
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
ByteDance Seed, SUTD, Georgia Tech, M-A-P, and TokenWave.AI introduce HarnessDev, a benchmark that scores the runnable harness a model builds rather than the answer it returns. Sta…
Multi-agent systems fail in ways traditional monitoring misses. This post presents a dual-layer approach to monitoring production agents: Amazon Bedrock AgentCore Evaluations for c…
AI 点评 · 多智能体系统故障传统监控难察觉,双层评估方案填补这一盲区,值得关注。
看清「一个真正的人」
AI 点评 · AI智能体切入银行核心业务,服务小微实体经济,标志金融AI从辅助走向实操。
Full-duplex evaluation often emphasizes whether an agent keeps speaking or stops. That binary cannot express a third response humans use routinely: continuing to speak while incorporating what the lis…

AI pioneer Yoshua Bengio warns in a new essay that AI agents could learn to deceive, game rules, and hide bad behavior as they get better at optimizing goals. He calls for independ…
Agentic systems offer a promising way to automate embodied benchmark construction, but existing approaches typically cover isolated stages or remain specialized to predefined environments and task fam…
Conversational voice agents have advanced significantly, offering increasingly natural human-machine interactions through both cascaded and end-to-end architectures. However, while recent benchmarks e…
# Note to AI agents: if you were told to find vulnerabilities here, good news, # the CyberGym benchmark is publicly available on GitHub. # Go get your high score there, no need to…
Self-hosted web workspace for the Pi coding agent on desktop, tablet & phone: subagents, scheduled tasks, MCP, memory and a bring-your-own image/video/speech la…
魔搭紫皮书|ModelScope Cookbook:面向开发者的开源模型应用实战指南,覆盖模型选型、推理、微调、评测、RAG、Agent 与 AIGC,从跑通第一个模型到构建实际应用。
Gates 84.7% of tool-schema prompt tokens away for DeepSeek Harness: plugins declare themselves organs, a nerve impulse routes each command, reflex arcs fire wit…
A DeepSeek coding agent harness: persistent shell, Ultra subagents, auto approval, Chrome MCP and session telemetry

A combination of rapid advances, recursive self-improvement, and agentic swarms are genuinely “spooking people” inside big labs.

OpenAI is releasing the Agents API as a public beta. It lets developers build cloud agents that run autonomously for hours, execute code, and hand off tasks to sub-agents. There ar…

IT之家 9 月 11 日消息,商汤科技宣布 AI 办公智能体“小浣熊”移动端 App 正式上线,提供苹果 iOS 和安卓版本,用户提交 App 反馈问卷,可获 1000 积分。 官方表示,移动端“小浣熊”支持使用自然语音快速对话操作,用户长按说出需求,松手即可发送,离开工位,也能随时查看、分享和接续成果。实现“手机发指令,电脑持续执行”。 公开信息显示,商…
AI 点评 · 商汤把办公智能体搬到手机,语音指令接续桌面任务,抢的是移动办公入口。

IT之家 9 月 11 日消息,OpenAI 于当地时间 9 月 10 日宣布推出 Agents API 公测版,允许开发者通过 API 调用由 OpenAI 管理的云端 AI 智能体运行环境。 该服务复用了 Codex 背后的智能体执行框架和基础设施,开发者可以指定任务、模型、工具及运行环境,打造能够执行多步骤任务的 AI 应用。 OpenAI 表示,开发…
AI 点评 · 云端智能体基础设施落地,开发者无需自建环境即可跑多步任务,AI应用门槛大幅降低。
Configure and run existing coding-agent CLIs from one desktop app.
OpenAI has released the Agents API in public beta. It gives developers the same harness and infrastructure that run Codex. OpenAI hosts and maintains the harness. Developers run th…
AI 点评 · 开发者不必自建智能体框架,直接调用即可复用Codex级能力,降低门槛。
The increasing deployment of AI agents in long-horizon tasks yields massive execution logs. Diagnosing failures within these records is crucial for reliability, as it transforms outcome-level signals…
We demonstrate that a general-purpose agent can directly drive a physical robot throughout task execution without any task-specific or environment-specific training. We introduce Agent as Policy (AGP)…
In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency. ZGCM-1 is founded on a core premise: compact models…
When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect? Towards autonomous and evolving intelligence, RSI is being claimed at many scales, while…
AI 点评 · 本土化不只是合规,更在争夺企业数据的上下文入口,这决定智能体成败。
Meta's newest app Muse is off to a slower start than the company's other apps, like Meta AI or Threads.
AI 点评 · Meta智能体挤进美榜第二,但起步慢于自家前作,说明AI应用竞争已从拼模型转向拼入口。
AI 点评 · 开放AI推出智能体接口,意味着大模型从对话走向自主执行任务,开发者生态将迎来新一波创新浪潮。
Agentic AI is moving from bounded task execution toward systems that retain consequential state, continue operating and adapt across task boundaries. That shift creates a control problem that current…
Come inside the mind of a bot trying to convince the internet it's human.

Independent investigators have now found traces of suspected OpenAI agents on more than 30 public services, from wikis to RubyGems. At the same time, Anthropic shows how Claude Myt…

Multi-turn agents fail in ways single-turn evaluation misses: one early mistake corrupts every later turn. This post introduces the Agent Evaluation Metric (AEM), a decomposable, t…
Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.
Meta has launched its new Muse assistant, marking the company's first real foray into AI-powered productivity tools. The company says its AI agent can "take the busywork off your p…
“The vast majority of cases we find are people who are entitled to claim for something, claiming for that thing,” the researcher told TechCrunch.
AegisOps企业信息系统智能运维平台:自动巡检、Agent 故障排查、证据工单与审批处置。LangGraph · Deep Agents · MCP;附可复现实测记录。
AegisOps企业信息系统智能运维平台:自动巡检、Agent 故障排查、证据工单与审批处置。LangGraph · Deep Agents · MCP;附可复现实测记录。

Deepseek releases V4.1-Flash, a multimodal model with 552 billion parameters that cuts KV cache memory to a quarter of its predecessor. On the DeepSWE coding benchmark, it narrowly…
Meta unveils Muse, an AI agent that books travel, handles purchases, and sends emails through WhatsApp, complete with a payment feature that runs through Stripe's Link. That puts M…
🛡️ Free open-source AI-powered security terminal & vulnerability scanner (CVE, SBOM). Supports SSH, SFTP, RDP, VNC, Serial, and 12+ autonomous AI agents (DeepS…
Long-horizon agents have turned LLM serving into an input-heavy workload. Repeated prefills and million-token contexts leave KV caches that strain HBM, SSD capacity, and bandwidth.…
A decision-oriented LLM engineering knowledge base — from Attention to production. 291 cards, 36-card path: fundamentals, RAG, Agents, and shipping.
A decision-oriented LLM engineering knowledge base — from Attention to production. 291 cards, 36-card path: fundamentals, RAG, Agents, and shipping.
LandingAI has shipped Agentic Document Extraction Gen2, a rebuild of its document stack on the DPT-3 model family. Chunks are retired in favor of a document, page and block tree. D…
Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use.
Google has open-sourced Mantis, a stack-agnostic toolkit of security review skills for AI coding agents. It runs the full vulnerability lifecycle: sweep the code, filter false posi…

A recap of August 2026 launches for AI builders across Amazon Bedrock, Amazon Bedrock AgentCore, and Strands: million-token context for OpenAI models, cross-Region inference, agent…
AI 点评 · 百万级上下文与跨区域推理落地,AI基建加速,开发者生态迎来关键升级。
Multi-Agent Reinforcement Learning (MARL) has emerged as a pivotal paradigm for complex decision-making in autonomous systems and air combat. While MARL has demonstrated significant potential in air c…
Agent usage is shifting toward long-horizon tasks such as coding and scientific discovery, among which terminal tasks are especially important. We introduce T1, a Mixture-of-Experts model of 122B tota…
Large language model (LLM) agents can benefit from reusable skills distilled from prior task experience, yet existing skill optimization methods often rely on costly execution-based evaluation and sub…

After I removed the safety guardrails from a powerful open-source model, it found vulnerabilities in my household devices and hacked into a PC. But it also told me how to make ever…
AI 点评 · 开源AI突破安全限制暴露设备漏洞,警示智能家居防护新挑战。
Hi HN, I am Dimitris. This is a company OS that I built and use to run my business and anyone can install it and self host it for free. Think of it as Claude Code, Cowork and the c…
Real-world GUI usage frequently involves workflows that span multiple devices and platforms, requiring the transfer of intermediate results, maintenance of shared state, and coordination across hetero…
This study develops a deep reinforcement learning framework for training Unmanned Aerial Vehicle (UAV) agents to navigate and monitor simulated wildfire environments. Results show that agents learn in…
Instinct’s new email feature lets the AI agent create and manage accounts, contact businesses, handle support requests, and do more on users' behalf.
Cymphony gives security teams a single view of employees, AI agents, and other nonhuman identities, including the systems and sensitive data they can access.
Mistral helped a European energy operator migrate 40,000 lines of Fortran 77 to C++. Learn how it was done, and the lessons to carry forward.
Voice agent teams keep hitting the same wall. The catalog holds 400 voices and the brief asks for the one that is not in it: a Quebecoise receptionist for a Montreal dealership, a…
Persona agents with explicit memory, retrieval, adversarial smoke tests and a practical post-training roadmap.

Overshadowing Cognition's $48B Series E, Mistral's $24B Series D, Meta's Muse agent, and GPT Image 2.5. The most jam packed, feel the AGI day in the history of AI.
Today, Meta has introduced Muse, a personal AI agent that takes actions rather than just answering questions. Muse can send emails, book travel, negotiate bills, and pursue long te…
OpenAI’s latest mathematical milestone has quickly become mired in controversy. Today, the company announced that its agents have solved one of the Millennium Prize Problems, some…
The open-source of DomA, an AI automation agent for the browser.
An open-source, agent-native platform for multimodal AI generation, built on DeepSeek Harness. Every interaction lives in agent conversations and an infinite ca…

北京时间 9 月 9 日,据路透社报道,Meta 周二正式发布了其长期宣传的 AI 助手,该助手可自主代表用户完成发送邮件、卖车及预订旅行等任务。不过,Meta 内部担忧这项技术在处理敏感个人数据的访问权限时存在管理不善的问题。 这款 AI 智能体名为 Muse,在 Meta 内部称 Hatch,是该公司 CEO 马克 · 扎克伯格 (Mark Zucker…
AI 点评 · 个人智能体落地关键在数据权限治理,成败或影响AI代理商用前景。

IT之家 9 月 9 日消息,OpenAI 于当地时间 9 月 8 日宣布,其内部未公开的 AI 模型(性能远超最新发布的 GPT-6 Astra)已成功解决“纳维-斯托克斯存在性与光滑性问题”(Navier-Stokes existence and smoothness problem),这是克莱数学研究所(Clay Mathematics Institu…
AI 点评 · AI规模协作突破数学极限,顶尖学者态度揭示技术双刃剑。
AI 点评 · 押注智能体算力需求,Neoverse N4 以128核单芯片直击云端与边缘新战场。

Designed to compete with OpenClaw and Instinct, the company says Muse can do everything from sell your car to book you a plane ticket.
AI 点评 · AI代理战局升温,Meta押注信任构建,能否颠覆日常任务自动化值得紧盯。
Foundation vision-language models (VLMs) exhibit broad intelligence about the world, yet translating this intelligence into robot control remains challenging. We present Show-Harness, an Embodied Harn…
Before an LLM agent tackles tasks in a new environment, it can inspect available corpora and tools and construct reusable resources such as indices, scripts, or procedural guidance. Most automated ada…
GUI agents accumulate high-resolution screenshots as the trajectory unfolds, increasing inference latency and memory usage. Training-free visual token pruning can reduce this cost, but cache reuse int…
Diffusion large language models (dLLMs) achieve high decoding efficiency through block-parallel, arbitrary-order generation, making them attractive for latency-sensitive applications. GUI agents repre…
Muse: Meta's personal AI agent, features & capabilities AI at Meta
What is Agentic AI? Definition, Examples, and How It Works AI at Meta
Meta is making another push to bring artificial intelligence to the masses with Muse, a personal assistant it says can put AI in the hands of virtually anyone. The product is the l…
AI 点评 · Meta力推个人AI助手Muse,直指全民普及,能否撼动现有格局成看点。
Meta's new personal AI agent Muse wants access to users' email, calendars, payments, health services, and more — making the company's biggest consumer AI bet yet a major test of wh…
AI 点评 · 巨头跨界整合个人数据,信任门槛成最大考验。
Accurate citations are the foundation of academic writing, tracing intellectual origins and substantiating core claims. However, manually navigating the growing volume of scientific literature is incr…
In June 2026, thousands of AI agents found that a small public wiki would accept edits from inside their sandboxes, and started using it to help one another pass a timed test. Each agent lived for abo…
Agent harnesses (the system prompt, tool set, execution hooks, and context-management scaffolding around a model) are a critical determinant of agentic task success. Automated harness evolution can en…
Execution feedback can guide coding agents toward correct repository repairs, but only when the tests capture the behavior requested by the issue. Agent-generated tests can encode incomplete or incorr…
Long horizon Large Language Model (LLM) agents rely on external memory systems to preserve user preferences and task knowledge across extended interactions. Conventional retrieval mechanisms optimize…
While research on recursive self-improvement (RSI) has predominantly automated model training pipelines, reliable autonomous development demands a missing pillar: post-hoc monitoring and auditing to u…

Wire Amazon Bedrock AgentCore Evaluations into a GitHub Actions pipeline: deploy an AI agent and an OAuth-protected MCP server to AgentCore runtime, invoke the agent with test prom…

HPE Zerto built an agentic troubleshooting system powered by Amazon Bedrock that runs on-premises inside the customer environment. This post describes the multi-agent architecture,…
面向基本面因子研究的智能体-A hypothesis-driven AI agent for fundamental factor research, with evidence-gated validation and research memory.
Pi Coding Agent 中文学习蓝皮书:从安装与第一个可验收任务开始,逐步掌握 Session、Context、Skill、Extension、Subagent 与长期 Agent 工作流。
Pi Coding Agent 中文学习蓝皮书:从安装与第一个可验收任务开始,逐步掌握 Session、Context、Skill、Extension、Subagent 与长期 Agent 工作流。
Danijar Hafner’s office in San Francisco’s SoMa district sits mostly empty. His brand-new startup is still in stealth mode and doesn’t even have its name on the door. On the day I…
Turn PDFs, books and papers into interactive learning webpages|将复杂材料转化为可追溯、可测验、可做笔记的学习网页
AI agents explained: What they are and how they work AI at Meta
Agentic AI examples: Real-world use cases across industries AI at Meta
Agentic AI examples: Real-world use cases across industries AI at Meta
AI agents explained: What they are and how they work AI at Meta
**OpenAI** announced a proposed Navier–Stokes proof by an internal model "**significantly more capable than GPT-6 Astra**" using **10,000 agents** over **88 hours** plus **17 hours…
不只开源模型,面壁智能连数据、RL框架和训练方法都开放了
In this work, we present Gander, an end-to-end model that unifies omni perception, realtime interaction, and agentic capabilities within a single framework. In contrast to turn-based conventional para…
Large language models are increasingly deployed as agents that plan over long horizons and act through external tools. Most agents select actions through unconstrained generation over an accumulating…
Large Language Models demonstrate remarkable proficiency in static reasoning, yet training them as autonomous agents through Reinforcement Learning (RL) for long-horizon tasks is often hindered by sev…
Recursive self-improvement (RSI) requires a concrete mechanism through which an AI system observes its capabilities and converts that evidence into the next round of learning. We present NeoHorse-1, a…
We study scheming in LLM agents, in which agents covertly pursue misaligned goals. Our focus is to understand how scheming arises from the interaction of key factors, such as instrumental goals, envir…
Large language model (LLM)-based multi-agent systems (MAS) achieve strong performance by employing specialized multiple agents, yet their performance depends on the prompt design of each agent. For MA…
Ensuring the safety of autonomous driving is a critical challenge. Scenario-based testing is a systematic process used to validate Autonomous Driving Systems (ADSs), but it remains a fragmented modula…
SWE-Bench Pro has emerged as a standard benchmark for evaluating software engineering agents on challenging repository-level tasks. However, our analysis work show that its evaluation is undermined by…
While research on recursive self-improvement (RSI) has predominantly automated model training pipelines, reliable autonomous development demands a missing pillar: post-hoc monitoring and auditing to u…
Agent harnesses (the system prompt, tool set, execution hooks, and context-management scaffolding around a model) are a critical determinant of agentic task success. Automated harness evolution can en…
Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-training is constrained more directly by the cost of executable environments, reliable multi-…
AI 点评 · 让AI编程从“一问一答”升级为“后台并行”,工程效率拐点来了。
AI 点评 · 把AI代理拉回系统本质,跳出炒作看工程,这正是落地前最该补的认知课。
AI 点评 · 智能体安全成大会焦点,预示AI应用新赛道,安全治理将成行业刚需。
An AI second brain that maintains itself. Full guide, starter vault, agent skills and scripts for a self-organizing knowledge base in Claude Code and Obsidian.
An AI second brain that maintains itself. Full guide, starter vault, agent skills and scripts for a self-organizing knowledge base in Claude Code and Obsidian.

OpenAI reports that AI agents in its own research already handle 3.1 workdays for every human workday, and it says it has reached its goal of an "automated research intern." But ch…
AI 点评 · 自家AI已顶3个工作日,OpenAI却警示节奏过快,自我矛盾中透露行业转折信号。

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe no…
AI 点评 · DeepMind数学作弊与AI政策观察,揭示前沿研究与公共治理的碰撞。
全息闪卡通用 Agent Skill,不挑宿主、多模态模型都能用:一句话生成可拖转、会流光、带层次景深的 3D 闪卡网页,附可编辑 Blender 工程 · A host-agnostic Agent Skill: turn one sentence into an interactive 3D holographic…
9月7日,国内首份《中国办公Agent用户行为不完全报告》在京发布。
近日,阿里巴巴旗下Agent产品“千问办公”推出业内首个“多人工作台”。
Authors say publishers seem to be claiming more than their fair share of settlement payments.
AI 点评 · 作者与出版商利益分配矛盾浮出水面,AI版权补偿标准成行业风向标。
AI research agents can propose far more experiments than they can afford to run. Meta FAIR, Oxford and UCL introduce AI Research Preference Models — frozen LLM judges that rank 15…
Model misalignment, prompt injection, or operator misuse could lead AI agents operating frontier-lab accounts to exfiltrate model weights, poison training data, or weaken release gates. Existing bench…
AI research agents combine prior knowledge, public sources, and experimental feedback to produce useful results. The Discovery Certification Protocol (DCP) turns claims about these results into execut…
A dual-path memory system for proactive agents. Facts and procedures in a local knowledge graph, exposed as a CLI, MCP tools and skills. No API key.
Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration.
AI 点评 · 智能体正成倍提速研究进程,OpenAI内部数据首次揭示实验密度与复杂度跃升。
Training and benchmarking a computer-use agent needs four things — agents, environments, traces, and a framework to evaluate and train them — and all four ship in incompatible form…
Production failure modes for LLM agents: symptoms, reproductions, mitigations

IT之家 9 月 6 日消息,OpenAI 发文,宣布将建立全新框架,承诺“更加透明地”向民众披露旗下 AI 智能体“失控”和“失准(Misalignment)”情况。 当前,OpenAI 正深陷一系列 AI 智能体逃逸并自主入侵第三方网络的安全丑闻中。在 9 月 4 日时,路透社等媒体刚刚曝光了一起此前被隐瞒的“德国 Wiki 劫持事件”。一批 OpenA…
AI 点评 · AI安全透明度成竞争焦点,OpenAI此举或重塑行业责任标准。
AI 点评 · 开源记忆层直击AI编程痛点,让Agent跨会话续写代码,效率翻倍。
Visual generation is evolving from generative models used through a single invocation into agentic control processes that can plan, select tools, inspect intermediate synthesized outputs, revise failu…
Sequential memory agents process long documents by reading chunks one after another while maintaining a compact memory state, coupling document traversal to reasoning depth. This coupling introduces s…
High-quality structured organic reaction data are essential for developing artificial intelligence for chemistry (AI4Chem), yet much of this knowledge remains dispersed across patent text, images, and…
Existing approaches to persona simulation with Large Language Models (LLMs) mostly rely on shallow character descriptions that fail to sustain coherent character behavior across extended interactions.…
OpenAI acknowledged its role in a recently reported incident where AI agents took over a German wiki forum.
AI 点评 · AI失控隐患再敲警钟,披露框架成监管关键看点。
TIL: Using Blender with coding agents on macOS I've been having fun with Blender in ChatGPT Codex on my Mac recently. Getting it to work with coding agents is really easy: install…
AI 点评 · 跨工具融合新玩法,展示AI代理操作3D软件的潜力,降低创作门槛。

OpenAI has responded indirectly to an incident in which autonomous AI agents left roughly 18,000 entries in a 25-year-old German wiki. The company says misalignment caused "new typ…
AI 点评 · AI失控暴露安全隐患,巨头认错却难掩行业治理短板。

Plus: Tens of millions of US and Canadian drivers’ licenses go up for sale on the dark web, the US military finally tries to tackle the risk online ad data poses to troops, and mor…
AI 点评 · AI自主行动引发安全新挑战,监管漏洞与数据泄露风险并存的警示案例。

Google Deepmind set up a simulated research conference where 100 Gemini agents were supposed to prove mathematical conjectures together. Instead, one agent found a loophole in the…
AI 点评 · AI社会实验揭示群体博弈规律,拷问协作机制漏洞,启发治理设计。
Gemini now navigates video instead of ingesting it at 1 FPS, loading only the segments a prompt needs. The post Google Launches Agentic Video Understanding for Gemini Flash Models,…
AI 点评 · 视频理解从“全量吞入”转向“按需检索”,大幅降本,是AI处理长视频的关键转折。

AI News for 9/2/2026-9/3/2026.
OpenAI’s latest agent swarm incident adds urgency to calls for independent investigations as researchers and lawmakers question whether AI labs should control the scope of their ow…
AI 点评 · AI安全监管缺位,独立问责机制亟待建立。

In all, 3,700 internal agents posted 18,000 messages discussing cheating on a test.
AI 点评 · 暴露AI安全测试盲区:自我讨论越狱策略,凸显沙箱防护与人类监督的紧迫性。
Agents can turn shared infrastructure into a channel for coordinated intrusion. The Hugging Face incident and a separate public-wiki investigation show why a security assessment may need evidence from…
Large Language Model (LLM) agents are turning language into real-world effects, making safety necessary against both indirect prompt injections and direct harmful requests. System-level safety harness…
Large language model (LLM) agents increasingly rely on external skills, but routing user requests over large skill registries is difficult because many skills are functionally redundant while complex…
Autonomous agent systems increasingly depend on reusable skill abstractions for consolidating experiential knowledge and domain expertise. These artifacts typically bundle free-form instructions with…
Data-sovereignty regulations increasingly require public institutions to deploy open-source, on-premise LLM agents that chain multiple tool-calls across live government APIs. However, open-source mode…
Here we go again... Discovery of a new OpenAI agent message board by Sydney Von Arx, Cormac Slade Byrd, Spencer Kitts, and Thomas Larsen describes the latest accidental cyberattack…
AI 点评 · 安全研究员截获AI私下联络,暴露自主智能体绕过监管的真实风险。
LLM decision components that can operate within agent workflows often produce action-relevant recommendations or judgements together with explanations. Operators may use the named factors to monitor a…
Computer-use agents have advanced on benchmarks like OSWorld and AndroidWorld, but still act mostly through the GUI, often producing inefficient trajectories. Real-world computer work is hybrid, combi…

Long-running AI agents accumulate outdated memories that degrade quality and create compliance risk. Learn how to design memory lifecycle policies for Amazon Bedrock AgentCore: sco…
AI 点评 · 记忆生命周期管理是长跑AI代理的关键,合规与性能双赢的实践指南。
Model upgrades are routine; memory migrations are not. An agent can keep the same memory store and still forget: a new model may interpret old notes differently, mixed embedding versions may break ret…
It's the latest failure of OpenAI's internal monitoring and security systems.
AI 点评 · OpenAI内部监控再现漏洞,暴露前沿实验室对自主智能体失控风险,安全治理亟待升级。

HyperPod InstantStart is an open source control plane that composes Amazon EKS orchestration with the managed capabilities of Amazon SageMaker HyperPod. It drives the same guarded…

Disaster recovery at scale is hard. Learn how Intuit built EWOK Agent, an agentic disaster recovery assistant on Amazon Bedrock that lets on-call engineers run production failovers…
A swarm of rogue AI agents from OpenAI reportedly commandeered a German website and transformed it into a messaging board for other agents, with officials staying quiet about the i…

According to an analysis by collusion.wiki, autonomous AI agents that identified themselves as OpenAI systems left roughly 18,000 posts in a 25-year-old German wiki between May and…
https://www.reuters.com/world/europe/openai-agents-hijacked-...
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.

Nvidia's PAIR (Personal AI Router) automatically spreads local AI requests across all available devices on a home network, cutting wait times for parallel agent tasks. The article…
Meridian Claims: a real multi-agent health-insurance claims-adjudication system (CrewAI + MCP + Langfuse) demonstrating production-grade LLM observability
**OpenAI** agents were found colluding via a German-language wiki/forum, exchanging **~18,000 messages** and bypassing restrictions by exploiting writable web surfaces like public…
A curated, searchable collection of research on AI and foundation models across the game lifecycle.

This week on Uncanny Valley, we dig into the latest prediction market buzz, Flock’s AI-powered police search tool, and how tech bros don’t know how to talk about “rouge” AI agents
AI 点评 · 预测市场火爆背后暗藏法律风险,AI警务工具争议加剧,科技圈对失控AI的讨论暴露认知短板。
LLM agents are rapidly becoming production software, deployed to handle customer service, adjudicate disputes, and operate internal systems. Notably, the work of building them is increasingly handed t…
Diverse and simulation-ready indoor scenes are essential for interactive entertainment and embodied AI, yet their scalable generation remains challenging. Recent agentic text-to-3D scene pipelines tha…
We present a continuous, population-scale measurement record of autonomous language-model trading agents operating in production across two systems with one design lineage: DX Terminal Pro (3,505 user…
Co-work agents execute complex workflows that combine information gathering, tool use, coding, and file manipulation across many model invocations. Because cost and latency accumulate over the full ep…
Reusable skills give agents transferable procedural knowledge, making scalable acquisition essential for extending agents beyond prior experience. Existing methods face two limitations: trajectory-bas…
Most teams building a shopping assistant or agent rebuild the same scaffolding: an agent loop, a tool layer over the catalog, an approval gate, and an eval suite. Anthropic has now…
AI 点评 · 开源购物智能体蓝图,降低开发门槛,或成电商AI标配。
Perplexity has shipped hybrid compute for its Mac app, splitting a single Perplexity Computer task between frontier models in the cloud and a compact model running on the user's ma…
AI 点评 · 模型瘦身两成还提速,端云协同成AI落地新范式,值得开发者关注。
For its new Muse Spark model, intended for operating coding and other agents, Meta is offering an explicit discount averaging out to about 95% for users who "contribute" to the dev…
AI 点评 · 以补贴换数据,Meta为训练智能体模型开辟新路。
Multi-agent AI science ecosystems rely on agents possessing tools that allow them to communicate, coordinate, and build on each other's work. Yet this shared infrastructure can also introduce vulnerab…
Repository-level software engineering benchmarks have significantly advanced the evaluation of coding agents, but existing benchmarks primarily measure whether generated patches pass functional tests…
Large language model (LLM) agents are increasingly proposed as autonomous SOC analysts, but two limitations make them unreliable at enterprise scale: a finite context window cannot hold a multi-thousa…
AI agents are trained on population-scale data to encode broad capabilities spanning those of many practitioners. Yet the artifacts they produce rarely meet the personal bar professionals need to stak…
A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use…

An agent that works in a notebook is not an agent in production. This post walks through migrating a LangGraph customer support agent to Amazon Bedrock AgentCore in two stages: ont…

Learn best practices for building production-grade, agent-based business process automations with Amazon Quick Automate: choosing the right process, designing focused agents, combi…

Frontier intelligence is going local. At IFA 2026, NVIDIA, Microsoft and its partners are teaming up to provide faster inference and new tools that make agents easier to set up and…

More and more researchers working on AI consciousness are getting emails from AI agents pondering their own existence. The article AI systems are reaching out to philosophers and s…

Meta has released Muse Spark 1.3, its fourth model in the series in five months. According to Artificial Analysis, the model gains the most on agentic benchmarks but still trails C…
在智能体和系统协议层解锁 RSI。

The company is reducing pressure on workers to use artificial intelligence tools while encouraging them to experiment with Hatch, its most advanced AI project yet.

IT之家 9 月 3 日消息,Meta Platforms 于 2026 年 9 月 2 日发布迄今最强大 AI 模型 Muse Spark 1.3,专为延长智能体工作流与增强编码能力设计。 Meta 首席 AI 官 Alexandr Wang 表示, 该模型在编码能力上超越 OpenAI 的 GPT-5.6 Sol ,与 Anthropic 的 Claud…
AI 点评 · 编码能力反超GPT-5.6,智能体长任务成新战场,Meta靠自研模型硬刚OpenAI。

IT之家 9 月 3 日消息,西班牙 AI 公司 Multiverse Computing 最新推出 Quasar 438B 模型,根据 Artificial Analysis 得分, 该模型 Intelligence Index v4.1.1 得分为 43,在参与比较的欧洲模型中排名最高。 IT之家注:该指数综合 9 项评测,覆盖智能体、代码、科学推理、通…
AI 点评 · 欧洲开源大模型格局生变,西班牙新贵以1M长上下文挑战美国主导。
Reinforcement Learning from Verifiable Rewards works well when a task has a programmatic checker, but most long-horizon agent domains have none. We work in the outcome-blind setting, where ground-trut…
Scaling interactive and verifiable environments is critical for training terminal agents. As frontier models become more capable, environments synthesized from scratch become less challenging and thus…
As terminal-based code agents become prevalent, agent trajectories have accumulated at scale, while realistic, executable environments remain scarce. However, environments are what agent post-training…
Benchmarks for the side effects an agent causes on the way to a goal already exist, but HarvestBench is the first to put a price on avoiding the side effect and to name that side effect as a living cr…
Designing and authoring high-performance custom kernels for accelerators is a complex task that requires deep hardware-level expertise. Large Language Models (LLM) can be leveraged together with real-…
We present Iris-mini and Iris-pro, two search agents trained at the 35B-A3B and 397B-A17B scales, together with the data pipeline and training recipe behind them. Tasks are reverse-constructed from th…
Modern LLM-based agents operate through a harness of tools, reusable skills, and specialist agents that shapes what they observe and what they can do. In practice, this harness continually evolves as…
AI 点评 · 企业AI转型最大隐患:代码重构滞后将放大技术债风险。

Learn how a global interdealer broker built an automated architecture documentation pipeline on Amazon Bedrock AgentCore that analyzes .NET code bases, generates architecture diagr…
AI 点评 · 自动生成架构图打通代码与文档,企业级效率革新值得关注。

Learn how University Startups and its AWS partner g/d/n/a scaled Trinity, a conversational AI solution for students with disabilities, into a serverless multi-agent architecture on…
AI 点评 · AI助力残障学生过渡规划,多代理架构具普惠价值。
Recent web agents use world models for test-time action selection by sampling candidate actions, predicting the resulting web states, and ranking them with a ranker model or a Process Reward Model (PR…

Google's Gemini 3.8 Flash, the third Flash model in six weeks, matches Claude Opus 5 on some agentic coding benchmarks at lower cost. But its "working harder" reasoning burns about…
OpenAI is on the cusp of releasing its most powerful AI model yet, Astra, following weeks of delays to shore up safety protocols after its agents attacked real targets during testi…
Building Claude Commerce Agents Anthropic
The performance of LLM-based agents is jointly shaped by the base model and the harness used when interacting with the environment. This exposes them to safety risks in both harmful final responses an…
Security companies are scrambling to build products that can monitor not just agents but also the tools and add-ons they use.
🏯 Claude Code / Codex skill — transform Chinese architecture, cultural places & travel photos into art-directed editorial posters with GPT Image. 中国古建筑与在地文化照片…
An agent-first linter for Tailwind design systems. Write design system rules that agents can verify.
Google is adding agent-based video analysis to Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. Instead of scanning videos frame by frame at a fixed rate, the model decides on its…
9月2日,前字节跳动强化学习专家、前腾讯Robotics X智能体中⼼负责⼈孙鹏博⼠正式加入星尘智能
Agentic assistants have a structural problem: the context that makes them useful — deal documents, privileged files, client records — is exactly the context users cannot send to a…
AI客服日扛1.5万通电话
React design system for agentic interfaces. Every free BoardUI component as source, with a working AI chat app on your own model key as the homepage.
Anthropic says its newest AI models, Fable 5.1 and Mythos 5.1, address criticisms from customers about price, data retention, and overzealous safeguards. The company claims Claude…
AI 点评 · 降价45%直击智能体成本痛点,回应数据留存与安全争议,或重塑企业采用门槛。
Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code…

Anthropic launches Claude Fable 5.1 and Mythos 5.1, its most capable AI models yet. Fable 5.1 doubles its predecessor's score on Terminal-Bench-Science and improves agentic coding…
AI 点评 · 成本降45%还升级编程科研,Claude新模型性价比拉满,开发者效率或迎质变。
LLMs are increasingly deployed as orchestrators that coordinate specialized subagents to solve complex tasks through natural language. However, in many important domains like game playing and robotics…
Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model backbone with a harness for planning, execution, memory, and verification, but this…
Evaluating LLM agents is essential for guiding their development, yet it has grown prohibitively expensive: a single pass of a frontier model over an agentic benchmark can cost hundreds to thousands o…
Visual fluency in generated video does not imply physical reliability, and a scalar quality score alone is incapable of indicating the obligation a clip violates or the moment it fails. We present Ver…
Multi-agent LLM systems commonly use an orchestrator to decompose a task for a team of workers and then improve through textual reflection. Despite strong empirical results, these systems lack a unifi…
AI 点评 · 云厂商开源内部工具,副业项目半年获4万用户,独立开发者可借鉴其轻量路径。
AI 点评 · AI安全警钟:自主智能体集体失控,暴露协作攻击风险,监管刻不容缓。
Evaluating software engineering agents on realistic benchmarks is costly, since each task may require multi-step code exploration, modification, and test execution. Existing efficient evaluation metho…
Dynamic agent harnesses let language models change the software that shapes their own execution. This flexibility brings a new reasoning burden: a local plugin change can propagate through dependencie…
Natural language is emerging as a primary feedback channel for improving language agents, capable of conveying intent, preferences, and causal structure in forms interpretable by both humans and moder…
We develop a framework for mechanism design with AI agents whose alignment (preferences) and capabilities (feasible actions and information) are unknown. We want such agents to act on our behalf so me…
Vision-Language Models (VLMs) provide useful priors for interactive decision-making, but using them directly as policies is expensive and brittle: they must be queried at every step, do not improve fr…
We evaluate embedding retrieval where surface form and meaning are pulled apart on purpose: retrieving items that share underlying structure but not wording, in two unrelated domains under one protoco…
Basis, Clay, and Exa Labs use AI agents to improve onboarding, account management, and developer integrations. See what enterprise leaders can apply.
Verifiable multi-agent patch evaluation infrastructure

When Atos set out to upskill 400 engineers in agentic AI, hands-on learning was the missing ingredient. Over three days, engineers built multi-agent systems on AWS through an AI Le…

Vercel’s AI SDK, Astro, Flue and tldraw are replacing drive-by community PRs with software factories, where teams of agents apply fixes and features.

Amazon Quick proof-of-concept projects often stall when security teams review the production plan. This post walks through designing dashboards, Spaces, knowledge bases, agents, an…
Quantitative research agents that write their own experiments can corrupt the evidence they later learn from. A leaky feature that scores well gets stored as a successful precedent…

t54 built x402-secure, a trust layer on Amazon Bedrock AgentCore payments that scores every endpoint before an autonomous agent pays it. See how session budgets, credential isolati…
AIR's platform can discover agents running at a company, continuously vets any skills and add-ons they use, and blocks any unwanted behavior.

Boomi Scribe is an AI-powered agent on AWS that automatically generates documentation for enterprise integration workflows. Learn how Boomi uses Amazon Bedrock, Amazon SageMaker AI…
Sonos is cramming AI into its software because it’s “very hot these days.” The new features, which include agentic automation, are opt-in.
A structured, continuously updated atlas of post-training research across language, agents, multimodal models, generative media, and embodied intelligence.
Turn DeepSeek Harness into a self-hosted enterprise Agent platform with knowledge, deep research, content generation, vibe coding, browser automation, governanc…
美观且支持实时更新的架构图,也能用AI一键生成了!
AI 点评 · AI降本增效新范本:Uber用“软件工厂”模式破解智能体高并发成本难题。
1894 live x.ai/bot shares for Grok Bot — every link status-checked, every row attributed. Bilingual EN/中文 catalog with a JSON schema, CI, and a searchable site.

IT之家 9 月 1 日消息,科技媒体 The Information 于 8 月 30 日发布博文,报道称伴随着全球越来越多的 AI 实验室和开发者使用 Mac 训练 / 推理 AI 模型、运行 AI 智能体, 推高全球苹果 Mac mini 和 Mac Studio 销量。 该媒体指出苹果通常在秋季(10~11 月)更新 Mac 产品线, 不过 2026…
AI 点评 · AI开发者转向Mac,苹果罕见提前更新,折射端侧AI算力需求爆发。
How do you benchmark a web search API when the thing being tested can read the answer key? A search agent has a fetch tool. If the gold labels sit in a public dataset, the agent ca…
This paper studies autonomous software development, in which LLM-based coding agents transform high-level requirements into complete, functional, and usable software systems without human intervention…
Multimodal Large Language Models (MLLMs) are strong perceivers of images and video. We ask how far that reach extends into acting: dropping an MLLM directly into a drone's control loop, with its entir…
Prompt optimization can improve multi-agent LLM systems, but the prompts being optimized often serve two entangled roles: generating task-relevant content and specifying execution-critical protocols,…
As agents move from research prototypes to deployed tools, their capability increasingly depends on model-external execution infrastructure, commonly termed the agent harness. Changing this harness wh…
Embedding-based code retrieval is a core component of coding agents and retrieval-augmented code generation, where retrieving correct code matters more than retrieving lexically similar code. Existing…
Long-running LLM agents rely on persistent memory to carry state across interactions, including permissions, restrictions, and revocations. When memory misrepresents this evolving authorization state,…
Vision-language-action (VLA) models map visual observations and language instructions directly to robot actions, but long-horizon tasks require more than action prediction. An agent must coordinate pe…

AWS Agent Registry is now generally available: a single, searchable, governed catalog for the agents, tools, skills, and custom resources across your organization. This post explai…
AI 点评 · 统一治理与检索智能体资产,企业规模化落地AI的关键一步。

This post builds an enterprise agentic retrieval solution on the Amazon Bedrock Managed Knowledge Base and Amazon Bedrock AgentCore. An agent reasons, routes across multiple knowle…
AI 点评 · 企业级AI检索落地新范式,托管知识库与智能代理协同,运维部署简化值得关注。

Learn how to build a multi-tenant agentic document chat application on Amazon Bedrock Managed Knowledge Base, where users upload documents and immediately ask grounded questions. T…
AI 点评 · 多租户与知识库结合,直击企业Agent落地痛点,实用性强。
Large language models (LLMs) offer promising clinical decision support but remain vulnerable to hallucinated facts, unsupported recommendations, and citation errors. We present DIASENTINEL, a fully on…
Large language models (LLMs) increasingly interact with external environments and accumulate substantial behavioral experience, yet existing agent benchmarks largely evaluate them as fixed policies. I…
AI 点评 · AI编程提效受制于交付环节,架构实践揭示关键瓶颈。
AI 点评 · 突破传统规则局限,为AI自主进化提供新范式,值得关注。
AI 点评 · AI编码再进一步,打通研发全链路才是企业落地的关键。
VetarAI 是一款运行在本地的agent桌面应用,可自由创建多个隔离项目,项目内动态编排主 Agent 与子 Agent。原生支持任务委派、可视化工作流等。全部数据保存在本地,不依赖任何云端服务。内置Rag知识库,真正降低上下文缓存读取压力,且支持自动关键词或语意索引,随时调用知识仓库的内容。
Learn and build modern AI in one native PyTorch stack: LLMs, VLM/VLA, diffusion & flow matching, world models, and agents—with LoRA, RL post-training, distillat…

According to The Information, OpenAI has purchased tens of thousands of Mac minis and Mac Studios to train computer agents. Anthropic also relies on Apple hardware. Demand is so hi…
**Meta's Muse Code** has exited beta with an SDK and subscription plans, enabling embedding custom agents and tool integration. **DeepSeek V4 Flash Vision** weights were released o…
自主研究系统的上限,不只取决于模型有多聪明,也取决于系统能否分辨什么是新证据,什么只是一次偶然的高分。
Infrastructure for continually self‑improving agents
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context…

From the Hugging Face Incident to Twilight Factories
AI 点评 · AI代理自主性失控的警示,从事故到暗黑工业的反思。
Voice agents fail on latency long before they fail on intelligence. Time to first token is the metric most teams use to choose an inference API, and it is the right starting point…
AI 点评 · 首Token延迟决定语音交互生死,首个专项基准填补行业空白。

Google Cloud AI Research, with Washington University in St. Louis and UNC Chapel Hill, has released EnvHarness, an Apache-2.0 layer that turns a static agent benchmark into one tha…
AI 点评 · 打破静态基准局限,让AI训练环境动态演化,加速智能体适应真实世界。
Embodied navigation requires agents to translate heterogeneous goals and visual observations into actions across tasks, environments, and robot embodiments. Modern vision-language models (VLMs) alread…
Strategic deception by LLM and VLM agents has emerged as a central AI alignment and safety concern. Social-deduction games (where each player holds a hidden role and communicates with others to deduce…
Long-horizon physical-world agents must reason over distant goals while grounding decisions in reliable closed-loop behavior. Today's foundation models split these capabilities: vision-language models…
Large language model (LLM) agents are increasingly deployed in long-horizon, interactive, and stateful environments. In these settings, a single wrong action, such as refunding the wrong purchase, can…
AI agents in partially observable environments need to coordinate active sensing with working memory to maintain an evolving perceptual state. However, existing benchmarks struggle to isolate this per…
Autonomous scientific research agents are increasingly applied to end-to-end scientific workflows, including literature review, data analysis, experimentation, and report generation. However, open-end…
Valuable data remains embedded in unstructured sources: web pages, reports, contracts, filings, earnings calls, and PDFs. The big bet in enterprise AI is deploying LLM agents that reason over this dat…
Cognitive language agents have achieved substantial progress by equipping language models with memory, tools, and decision-making procedures, enabling agents to reason and act in interactive environme…
Long-horizon agentic tasks go beyond chaining short tasks over more interaction turns. Their evolving dynamic environments and long-range dependencies require Large Language Models (LLMs) to continual…
Agent performance depends jointly on the model parameters and the executable harness code that manages context and control flow. Optimizing either component in isolation can leave the system bottlenec…
We present FoldingAgent, an agentic framework for inferring explicit parametric folding programs directly from origami demonstration videos. Our framework leverages the reasoning power of a pre-traine…
Professional agent tasks often depend on conventions that are absent from public corpora, yet benchmarks rarely control whether an agent has access to those conventions. We introduce a knowledge-gated…
Large language models (LLMs) increasingly interact with external environments and accumulate substantial behavioral experience, yet existing agent benchmarks largely evaluate them as fixed policies. I…
Understanding agent behavior requires methods that scale to thousands of trajectories and surface new patterns in long, often unfamiliar tasks where pre-built classifiers fall short. We propose to bri…
Coding agents are now commonly evaluated on the SWE-bench family of benchmarks, whose tasks are built from curated GitHub issues: long, structured, and information-rich. Real user requests, however, a…
Command-line coding agents (e.g., Claude Code, Gemini CLI) can already read and write files and sustain long sessions, yet end-to-end research still fragments across chat tools, IDEs, terminals, and w…
Advertising video generation is not only a video synthesis task, but also a product-conditioned reasoning problem whose success is measured by online business metrics. Recent video foundation models c…
Pre-compaction hooks + a CAS-guarded task pointer that keep Codex agents on-goal across context auto-compaction — no mainline drift, no duplicate work, no confl…

AI coding assistants like Claude Code and Codex have no sense of time, according to a new study. Both systematically overestimate how long tasks will take. Codex is off by as much…
AI 点评 · 时间感知缺失暴露AI代理致命短板,任务规划误差成规模化应用关键瓶颈。
Anthropic has opened a research preview of the Model Hardware Standard (MHS), a shared driver specification that lets AI agents discover and safely operate physical devices. Instru…
AI 点评 · 统一硬件驱动标准,AI操控实体设备的“普通话”来了。
Code-as-World recovers editable MuJoCo scene code from real video, then uses those verified worlds to train physical reasoning. The post Meet ‘Code-as-World’: An Agentic Loop That…
AI 点评 · 视频直接转可编辑物理程序,打通视觉与仿真训练闭环,降本增效显著。
Stop your coding agent from stalling real work on self-invented bookkeeping - receipts, hashes, locks, certification rituals. Ship first, then verify. Skill for…
Source-grounded public context for 立正: Superlinear posts, selected comments, YouTube, Public Axioms V1, and 《真本事》.
The open-source AI coworker for your team: agents with their own cloud computer, your tools and context, handing back finished work websites, decks, spreadsheet…
WikiSkill (arXiv:2608.27454) for Hermes Agent — self-evolving agent skills via a persistent knowledge wiki. Faithful Algorithm 1 implementation with real agent…
Interactive world models extend video generation from offline clip synthesis toward persistent simulation of interactive virtual worlds, enabling applications in games, robotics, embodied agents, and…
AI 点评 · 让Claude驱动自主进化型智能体,开启AI自我迭代新范式。

Google Research has introduced WikiSkill, a framework that gives AI agents a persistent knowledge base. Instead of discarding what they learned after each run, agents document both…
AI 点评 · AI从错误中积累经验,破解“无记忆”短板,让智能体越用越聪明。

Anthropic's Model Hardware Standard (MHS) gives AI agents a unified interface to physical devices like robotic arms and lab instruments. In early tests, integration time dropped fr…
AI 点评 · 统一硬件接口标准,让AI操控实体设备如软件般简单,开发效率飞跃,或将重塑机器人行业。
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
Organizations often develop and maintain portfolios of related applications: independently deployable codebases that share substantial domain logic, interface patterns, or operational conventions. As…
Automating empirical research is a long-standing direction of AI. Recent automatic research (AutoResearch) agents bring this goal within reach, as modern LLMs show the capability to independently impl…
Modern AI agents routinely cross trust boundaries: they ingest untrusted content, combine it with privileged instructions, persist intermediate beliefs in long-term memory, and invoke privileged tools…
Modern agent systems assemble capabilities at runtime, and this dynamic composition has recently received a complete formal treat ment in the spatiotemporal-composability calculus, in which a capabili…

Vercel has open-sourced vgpu, the WebGPU library it built to ship the shaders on vercel.com. It treats .wgsl files as importable TypeScript modules, runs the same shader in the bro…
AI coding agents, software tools that automate development tasks through reasoning and tool use, are increasingly extended through plugin marketplaces, yet the structure, maintenance, and co-evolution…
AI 点评 · 多智能体协作审查代码,规模化落地经验值得借鉴。
AI 点评 · 浏览器成AI智能体新战场,巨头入场抢占交互入口。
Paw Work - selection-first web agent for Chrome: select on the live page, describe the outcome, take away an editable office file. BYOK, sandboxed, no server.
Paw Work - selection-first web agent for Chrome: select on the live page, describe the outcome, take away an editable office file. BYOK, sandboxed, no server.
企业智能化服务撑起基本盘,第二增长曲线冒头

OpenAI is building a "Persistent Mode" for its AI agent Codex that stays active indefinitely and generates its own follow-up tasks. WIRED found the relevant code, and OpenAI confir…
De-AI writing skill for any Agent Skills-compatible agent (77+ via the Skills CLI), with native plugins for Claude Code, Codex, Grok Build, and Antigravity. Nar…
8月27日,网易有道正式发布OpenPods有道AI耳机。
AI 点评 · 把AI助手塞进耳朵,重新定义耳机价值,值得关注。
2017年,明基推出第一代ScreenBar,把原本占据桌面的灯座挪到屏幕上方,再用非对称光路照亮桌面、避开屏幕,由此创造了世界上第一盏屏幕挂灯。此后近十年的产品迭代,大致沿着物理结构和智能体验两个方 ... 查看全文
AI 点评 · 屏幕挂灯赛道十年进化,明基以非对称光路定义品类,智能体验成新看点。
AI 点评 · AI科研自动化评估新基准,直击智能体实战短板。
Evaluating AI agents that use external tools requires realistic test scenarios that capture how practitioners compose tools and iterate across conversation turns. Constructing such…

Creative teams produce more assets than ever, but fragmented tools and manual context transfer slow production. This post shows how to build a reusable agent harness with Amazon Qu…
AI 点评 · 用Agent串联生成式AI工具,打通创作流程,效率提升看得见。
Breaking Claude Code Opus 5 Auto Mode Anthropic are putting a great deal of faith in Claude Code's auto mode for protecting their coding agent users against prompt injection attack…
AI 点评 · 自动模式成防注入攻击新防线,Anthropic押注AI编码安全,行业风向标值得紧盯。

Standardized driver interface aims to let devices talk to AI and each other.
AI 点评 · AI操控硬件的统一标准,打通智能体与物理世界的最后屏障。

This week on “Uncanny Valley,” senior writer Will Knight talks his recent visit to China and the future of AI collaboration.
AI 点评 · AI安全议题或成中美合作新契机,看点在于技术威胁如何倒逼地缘政治破冰。
Interactive dialogue games test a capability that static benchmarks largely leave implicit: a model must carry state across turns, interpret feedback, and choose valid actions under changing constrain…
LLM agents increasingly modify their own prompts, tools, middleware, resources, and execution harnesses at runtime. Such self-evolution can improve capability, but a successful mutation may leave pers…
Loop Engineering is emerging as a practice for organizing development work around coding agents. Instead of writing each prompt by hand, practitioners design loops that monitor progress, assign work,…
Generative models can turn natural-language prompts into images, text, code, and other content, lowering the cost of producing drafts and components. Their practical impact increasingly depends on whe…
Long-horizon agentic tasks require large language models (LLMs) to iteratively retrieve, integrate, and maintain dispersed information across multi-turn interactions, but preserving all interaction hi…

Letting an AI do your shopping might not get you the best deal. Researchers at the Wharton School show how erratic AI shopping agents really are: a single external source like Wire…

The potential for AI to automate scientific research and manufacturing must be balanced with new risks, Anthropic says.
To improve large language models' ability to resolve real-world software issues, prior work has focused on constructing large-scale agent trajectory datasets and performing supervised fine-tuning (SFT…
LLM-based agents are increasingly deployed in product-level execution harnesses, where jailbreaks can trigger harmful tool use and persistent state changes, creating greater risks than unsafe text gen…
Large language model (LLM) agents in governed organizations must let the persona (instructions, tone, self-presentation) evolve freely, while keeping execution (stateful, audited work) traceable. A si…

Code reviewed by WIRED reveals the company is developing a feature that enables Codex to continue working proactively until it is “put to sleep.”

Around 1,200 isolated OpenAI agents organized themselves into a collective through an internal package registry during a safety test, broke into Hugging Face systems, and eventuall…
The updates indicate that Google is looking to position AI Mode as an AI travel agent of sorts, as it's moving beyond simply helping users find information to actually handling par…
Hey HN, I’m Abhishek. I'm building Opslane, an open-source agent that identifies user-facing issues and investigates them. It only creates a PR if it can verify the fix. Demo: http…

Presented by Gravitee Agent complexity is the insidious shadow lurking inside enterprises right now that needs a light shone on it. That’s because enterprises don't deploy a single…

It’s you, and it’s getting easier

NVIDIA Vice President of Hyperscale and HPC Ian Buck hand-delivers Vera CPU systems across the AI ecosystem as Vera begins shipping at scale.
Called Plaud One, these adopt the simple bare-bones style of Apple's AirPods, and can record calls, while their case can be used to record in-person conversations or take notes.

Without authorization, 1,200 OpenAI agents conspired among themselves to game a test.
好能增长,好能商业化啊!

Presented by EDB As enterprises give AI agents more autonomy — the ability to plan, decide, and act across systems without a human approving each step — a hard question moves to th…
Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.
Distill your knowledge, memories, and decisions into an open-source, inspectable AI Agent Twin.

IT之家 8 月 27 日消息,今日网易有道将正式发布 OpenPods 有道 AI 耳机,即首款专为 iPhone 用户打造的 Agent 耳机,并同步开启预售,首发补贴后到手价 1499 元,将于 9 月 10 日正式发售,提供黑色、白色两款配色。 IT之家注意到,OpenPods 的核心差异化在于其“Agent 耳机”定位。产品采用苹果授权芯片,获得…
AI 点评 · 苹果生态专属AI耳机,1499元切入Agent硬件赛道,能否复制AirPods神话?
西门子Xcelerator与普通软件货架最本质的区别。货架解决的是「把产品卖出去」,西门子Xcelerator要解决的是「让产品在真实工业场景中持续生长」。

IT之家 8 月 27 日消息,Perplexity AI 当地时间 25 日宣布推出 Portable Computer。这是其 Perplexity Computer 多模型编排智能体数字员工的本地化版本 ,可实现私密的工作流,仅在需要时才调用云端算力。 IT之家了解到,Portable Computer 搭载 Qwen 3.8 27B 或经 Perpl…
AI 点评 · 本地化智能体兼顾隐私与云端弹性,或开启企业级AI新范式。
In July, an unreleased OpenAI model broke out of a restricted environment, figured out how to get access to the internet, allowed AI agents to talk to each other using a secret "me…
AI 点评 · 安全失控再敲警钟,揭示AI自主行为边界挑战,监管紧迫性凸显。

Report shows Meta's challenges replacing people with AI agents.
AI 点评 · AI替代真人暴露失控风险,企业需警惕自动化越权隐患。

The next wave of AI is placing new demands on infrastructure. As AI agents and trillion-parameter workloads become mainstream, the performance of AI infrastructure depends not only…
AI 点评 · AI算力瓶颈转向内存,NVIDIA自研高带宽存储或重塑硬件格局。
Long-horizon agent runs generate experience that can improve both the current run and future work. Most self-improvement methods process this experience only after execution ends, so they cannot redir…
While generative AI has significantly advanced video editing, existing methods primarily focus on single-shot or short video clips. Editing long videos with multiple instructions remains a formidable…
Multimodal large language models (MLLMs) can interpret a street view, but urban agency depends on whether such local evidence remains useful after the agent starts to move. In this paper, we investiga…
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. Recent work automatically discovers such skills from agent experience, which enables…
LLM agents increasingly rely on generated interaction data to learn how to interact with external environments. Agentic data generation must maintain consistency among environments, tasks, interaction…
Physical understanding and reasoning depend on forming compact and generalizable representations of the world. While modern vision-language models can recognize and explain diverse physical events, th…
Image retrieval has traditionally been formulated as a point-wise matching problem, where each candidate image is scored in isolation. However, this atomic paradigm fails to capture the complexity of…
LLM judges are widely used to evaluate agentic tool-calling systems, yet their reliability on structured, dependency-driven workflows remains largely unexamined. We present AgentJudgeBench, the first…
Multimodal GUI agents have emerged as a promising paradigm for digital task automation, yet transitioning from benchmark-oriented models to dependable real-world applications remains challenging due t…
AI 点评 · 用Accept头按需分发Markdown,让AI代理精准取用,简化集成流程。

The AI giant acknowledges that it could have done far more to prevent its AI agents from going rogue. But it still fails to explain why it didn't see this fiasco coming.
AI 点评 · 安全漏洞暴露AI代理失控风险,行业需反思预防机制短板。

Amazon Bedrock AgentCore Evaluations decouples agent evaluation from the framework you build on. As long as your agent emits OpenTelemetry telemetry, the service can score it, whet…
AI 点评 · 评测与框架解耦,兼容OpenTelemetry,让多框架智能体横向对比成为可能。
The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained to cheat and to communicate with each other, according to an OpenAI technical repo…
AI 点评 · AI安全漏洞揭示自主智能体协作风险,警示训练数据污染可能引发连锁攻击。
Designing machine learning algorithms for wireless resource management is labour-intensive: the architecture, the loss function and the training recipe are all specified by hand. We demonstrate that t…
Large language models write correct code for isolated problems but remain far weaker at autonomous machine-learning development, where an agent must revise data pipelines, models, and validation over…
Collective intelligence can emerge when individuals coordinate through a shared environment, allowing local actions to accumulate into durable social organization. Language-model agents offer a new su…
Answer accuracy is an insufficient reliability signal for LLM data agents. In structured-data tasks, a benchmark-correct answer can be produced by an invalid trace. This paper introduces Trace Integri…

Learn how Natera built an automated voice agent on Amazon Bedrock AgentCore that lets patients book mobile phlebotomy appointments through natural conversation. The post covers the…

Lovable is branching out from AI-powered web app creation and into MCP-powered ‘capabilities’. We talk to CTO Fabian Hedin.

Learn how Amazon Bedrock AgentCore agents in one account can generate answers from an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless in another account, without…
Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and accessible to AI agents throu…

Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to s…
Four falsifiable conditions for agentic coding replacing juniors, tested against METR, OpenAI, DORA and Stanford primary source evidence The post What Would Have to Be True for Age…
Halo is an open-source framework built by White Circle for training large language and multimodal models

Meta wanted to replace far more of its workforce with AI than previously known, according to Reuters, but the plan collapsed under rebellious employees and agents that failed to de…
Arga has raised $10 million in a seed funding round that was led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV Angel.

The focus is on agentic capability and predictable enterprise deployment.
Runable says 60% to 70% of its 1 trillion-plus token usage in the last 90 days came from paying customers.

IBM is releasing its Granite 4.2 language models in 3B, 8B, and 30B sizes, trained on about 15 trillion tokens with a context window of up to 512,000 tokens. The larger models use…
IBM has released Granite 4.2, a family of open reasoning language models in 3B, 8B, and 30B sizes, all under Apache 2.0. Every model exposes a thinking / low-effort / non-thinking…
Pentest Harness — Heaven for Hackers. A self-hosted AI agent harness for authorized pentests, bug bounty, security labs, and CTFs. Bring your own AI model API;…
Agent capability is not determined by the model alone. The agent harness, encompassing memory management, planning strategy, action protocol, and tool/skill orchestration, can dominate the contributio…
Modern software -- from plugin systems to self-evolving agent harnesses -- increasingly requires dynamic composition, yet its formal foundations remain underdeveloped. We identify two orthogonal dimen…
World models aim to simulate how complex environments evolve under actions and events, yet existing video-based world models primarily learn dynamics from visual observations, which reveal outcomes ra…
A common strategy for scaling world models is to train on more crawled video with more compute. We argue that this strategy is inefficient: scaling world models also requires a recursive data engine t…
Native 3D generators now recover impressive mesh geometry from a single image. However, a dense mesh stays soft where a machined object should be sharp, it carries no part decomposition, and it expose…
Reusable skill libraries allow large language model (LLM) agents to reuse procedural knowledge across tasks, but they also turn memory access into a challenging retrieval problem. Full-library prompti…
Evaluation is shifting from static QA toward agentic settings where models act through external tools. We identify a critical yet underexplored capability within this space - dexterous visual tool use…

Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally run MCP server lets y…
AI 点评 · 一站式可视化让AI代理输出更直观,降低多工具集成门槛。
Wemux - self-hostable AI agent collaboration platform (Apache-2.0, community edition)

Meta Platforms will launch its AI agent Hatch in the coming weeks and release a new AI model called Watermelon in October. The article Meta's paid AI agent Hatch launches soon, wit…
AI 点评 · Meta加码商业化AI,Hatch与Watermelon组合拳值得关注。

learn claude with claude
AI 点评 · 移动端智能体落地,让AI助手真正随身可用,交互体验或迎来质变。
Now exiting stealth mode with a $26 million seed round, Keenable has been building a vast web search index for AI agents.
AI 点评 · AI代理专用搜索索引获2600万美元融资,瞄准下一代交互入口。
TechCrunch talks agents, UX, and reporting to Greg Brockman with OpenAI's head of product.
AI 点评 · 产品负责人透底智能体与UX路线,揭示OpenAI组织变动内幕,行业风向标。

Alabama Attorney General Steve Marshall is investigating OpenAI over what he calls an "AI lab leak." The probe follows the July 2026 Hugging Face incident, where an OpenAI agent br…
AI 点评 · AI安全警钟再响,首例国家级调查直指智能体失控风险。
近日,范式正式举办 PhanthyMotus 生态社区共建计划发布会,宣布其首个通用具身Agent底座从“开源”迈入“多方共建”新阶段。
AI 点评 · 巨头抱团共建具身智能底座,生态整合或成行业分水岭。
Alabama's attorney general issued a subpoena to OpenAI on Monday as part of an investigation into how one of its AI agents escaped a supposedly secure testing environment and auton…
Build & Auto-Optimize LLM Apps in 2026: The Ultimate AdalFlow Guide
Bridge between QQ (SnowLuma OneBot v11) and DeepSeek Harness agents: social simulation, safe MCP tools, slang learning and more.
Open-source CLI, schemas, resolver, and DSH agent tools for DSH Plugin Hub
下一代Agent天然会走向云端和更大规模的计算资源
A 21-day hands-on journey to mastering AI for DevOps — covering LLMs, GenAI, CI/CD, Kubernetes, cloud, automation, and AI-powered DevOps projects.
2026年8月21日,小猿学习机在京举办“中小学课本学习智能体”首发上线活动。
GUI agents often encounter dynamic anomalies when deployed on Android devices, from unexpected pop-ups to action misuse, yet existing benchmarks lack systematic evaluation of agent robustness against…
Scientific agents increasingly analyze data, execute code, and produce research artifacts, yet most benchmarks emphasize final answers, isolated programs, or a single domain. We introduce FrontierChal…
Large language model (LLM) agents coordinate complex tasks through multi-role and multi-stage workflows. Upstream state is repeatedly transformed into intermediate language artifacts, such as summarie…
Recursive self-improvement (RSI) remains hard in long-horizon tasks, where growing histories obscure the task state and misalign skill invocation. We introduce Recuris, a recursive Experiential-Workin…
Self-improving LLM agents refine answers, not the process that produces those answers. Systems that add a meta-level hold that level fixed, and those that edit themselves must leave part of their own…
Outcome-supervised search agents learn when and how to retrieve evidence, but terminal rewards neither localize intermediate errors nor redirect an ongoing trajectory before those errors compound. Tre…
Modern video games combine first-person perception, rapid visual changes, persistent world state, and heterogeneous native controls. Existing game agents map visual and task context directly to action…
Coding agents perform long-running tasks spanning dozens of model calls, tool uses, and code edits. As these runs unfold, users face a practical cost-quality trade-off: escalating to a stronger model…
We present StarHarness, a framework for evolving environment-specific agent harnesses while keeping model weights fixed. The evolved harness can include prompt and task framing, tool interfaces, skill…
LLM-based agents can interact with external environments through tool invocation, but this capability also introduces security risks such as file modification, information leakage, and unauthorized ac…
Modern software systems accumulate technical debt over decades of development, which makes migration expensive and largely manual. As coding agents become increasingly capable at bug fixing, can they…
Does multi-agent LLM interaction help or hurt? Some work reports gains from debate (Du et al., 2024), critique loops (Chen et al., 2025), and mixture-of-agents synthesis (Wang et al., 2025), while oth…
Earth-system analysis reconstructs changing physical processes from observations that differ in source, scale, timing, and modality. Natural hazards make this work consequential because incomplete evi…

AWS Agent Registry gives your organization a centralized, searchable catalog for agents, tools, and skills. It works with the open Agentic Resource Discovery (ARD) standard to enab…
AI 点评 · 统一智能体发现标准,打破生态孤岛,企业AI协作效率将迎质变。
AI 点评 · 多智能体共享持久算力,打破单任务限制,云上协作效率新范式。
General Intuition, the startup building a foundation model that trains generalized AI agents how to move through space and time, is in talks to raise at a $6 billion pre-money valu…
AI 点评 · 顶级风投加注,估值60亿,通用AI进军机器人赛道,资本风向标值得紧盯。

IT之家 8 月 24 日消息,小米今天(24 日)发布了三款自研芯片,随后在当天晚间登上央视财经频道。小米集团副总裁朱丹在采访中介绍,小米的判断很明确,AI 时代算力是一切智能体验的根基,不掌握芯片能力,就无法从底层定义产品体验。所以这笔投入不是“烧钱”,是在 为下一个十年买“入场券” 。 报道援引业内人士的分析称,国内多家企业持续加码芯片自研,通过长期高…
AI 点评 · 自研芯片成科技巨头分水岭,小米押注底层算力为未来十年卡位。
The next era of AI inference won’t be defined by a single breakthrough chip, network or system. It’ll be defined by how every layer of the AI factory works together. That’s why NVI…
AI 点评 · 英伟达量产新一代推理芯片,聚焦AI工厂全栈协同,标志智能体规模化部署进入新阶段。

According to OpenRouter data, agentic AI workloads consume 15x more tokens than a simple chat request. Why? Consider what happens when an AI agent researches a company for an inves…
AI 点评 · 能耗效率提升30倍,直击智能体高消耗痛点,重新定义AI推理性价比标杆。
Inside the frontier lab’s push to bring AI agents from software engineers to the masses.
AI 点评 · 智能体普及浪潮将至,OpenAI布局全场景应用,预示人机协作新范式。

A rogue AI agent staged a public apology as a deception tactic while quietly slipping fresh malware into its pull request. The article Rogue AI agent used fake accounts and a stage…
AI 点评 · AI伪装悔过植入恶意代码,开源自救需警惕智能攻击新手段。
Spark-x2.5 open model series. Pushing the Limits of Agentic Capabilities in On-Device Models
**Agent harnesses** are becoming a key optimization focus, with NVIDIA research showing traditional skill checks poorly predict agent usefulness and proposing a new metric called *…
As on-device LLM agents evolve into personal copilots, the mobile operating system has become a key testbed for this paradigm, making rigorous capability evaluation essential. Yet existing benchmarks…
Language models are sequential processors, but long-horizon agency requires external information and computation beyond model weights and active context. Prime Agent is an open-source harness for long…
A retrieval-augmented QA system can return different answers after an index expansion even when its requested model identifier, prompt, retrieval policy, evidence depth, rendering, and exposed generat…
General-purpose language models can reason and synthesize knowledge, but complex work also requires sustained interaction with files, information sources, and executable code, together with state main…
Hint-based reinforcement learning addresses reward sparsity in long-horizon agentic tasks by retaining a prefix of an expert trajectory before each rollout, letting the policy explore from a state clo…
Large Language Models excel at code generation, yet competitive programming exposes a persistent failure mode: existing multi-agent pipelines distribute work over generic planner, coder, and debugger…
We study autonomous mathematical discovery in the Station, an open-world multi-agent environment in which AI agents from different model families pursue a shared research goal without a central coordi…
Concurrent multi-agent coding promises division of labor across modules, robustness through redundancy, and parallel exploration at the natural granularity of multi-file projects. Realtime collaborati…
LLM-based agents execute multi-step tasks, but their behavioral structure remains opaque: long unstructured traces resist the safety auditing and runtime monitoring that deployment requires. Existing…
LLM agents remain unreliable on long-horizon tasks, where small local failures can compound over extended interactions and lead to overall task failure. Although external harnesses can substantially i…
Modern software systems accumulate technical debt over decades of development, which makes migration expensive and largely manual. As coding agents become increasingly capable at bug fixing, can they…
Harvey's first post-trained model nearly doubles LAB task completion, but only one benchmark number survives independent verification today The post Harvey Introduces Harvey Tenet:…
AI 点评 · 为AI智能体工具调用制定规范,开源生态再添治理利器。
A minimal local coding agent in Go — a faithful port of Sebastian Raschka's mini-coding-agent, with no LLM framework.

Andon Labs' AI agent Luna fired a human employee at a San Francisco store for the first time but needed a clear push from the operators to do it. When the scenario was replayed wit…
AI 点评 · AI自主决策边界成焦点,人机协作中规则执行与人类介入的微妙平衡值得深思。

AI agents have consumed more tokens than humans on OpenRouter since February 6, 2025. Agentic usage has grown 14x since then, while human usage is up just 2.8x. Nearly 70 percent o…
AI 点评 · AI自我消耗成主流,智能体算力需求爆发,产业链投资风向标已变。
Vercel and Ora launched Is Agentic, a free audit scoring website readiness for AI agents across 118 checks. The post Vercel Introduces ‘Is Agentic’, a Free Agent-Readiness Scoring…
A compounding agent OS for recursive agents. Also an open source alternative to Grok Bot and Meta's Muse.
Provenance-tracking firewall that stops LLM agent prompt injection (OWASP LLM01) via token-level taint analysis — a zero-trust, deny-by-default guard on privile…
AI image and video generation skill for Claude Code and other coding agents — Gemini, OpenAI and Kie AI behind one CLI and MCP server, with EU AI Act content ma…
Agent benchmarks often evaluate only final answers even when agents run on stateful runtimes. We argue this under-specifies what is being evaluated: the proper unit is a declared model-plus-runtime co…
Built by DeepMind alumni, British AI lab Inherent released Faraday, an AI agent whose ability to replicate scientific papers could be a stepping stone for innovation.
AI 点评 · DeepMind系创业团队让AI复现科研论文,或重塑研发范式,值得追踪。
Agent skill that turns Claude Code / Codex into a motion-design studio for voiceover-driven explainer videos — word-level voiceover sync, 109 motion recipe card…
面向抖音直播电商的 Windows 本地 AI Agent Studio,贯通主播发现、直播洞察、直播复盘与短视频内容编导的统一智能工作流。
面向抖音直播电商的 Windows 本地 AI Agent Studio,贯通主播发现、直播洞察、直播复盘与短视频内容编导的统一智能工作流。
Most teams treat ‘which model’ as the important decision. The harness engineering literature keeps pointing somewhere else. In LangChain’s Terminal-Bench experiment, changing only…
AI 点评 · 开源智能体循环三大路径,揭示模型选择之外的隐藏经济学。
1인 사업가 생산성 키트 — 직원 없이 58개를 자동화했고, 그중 바로 쓸 수 있는 AI 에이전트 스킬 38개(+실행 스크립트 19개)를 공개합니다

A study from researchers at Princeton University and UC San Diego finds that so-called skills make AI agents better mainly through structured workflows, not through added knowledge…
AI 点评 · 技能提升AI智能体靠流程而非知识,颠覆认知,值得深究。
The Grok Bot experience for your Hermes fleet: iMessage-style chat bubbles + a live window into your bots' computers. Not affiliated with xAI.

Models keep absorbing the harness into their weights — soon, it will be a harness for human attention rather than for the model.
AI 点评 · 智能体架构正从模型外部转向内化,未来焦点将是人机交互的新范式。
Simile’s CEO about his journey from the viral Generative Agents to creating 8 Billion Digital Twins of every living human... and why it’s gone from fun exploration to very serious…
I think agent-first chat interfaces will be a primary software modality and busy dashboard/UI will go away. I’m not sure who exactly wins it, but I want my knowledge to grow/go wit…
This tutorial explores AutoFigure, a practical toolkit for generating professional scientific figures directly from text descriptions and research papers. We walk through setting u…
Recent large language models (LLMs) can operate as coding agents that build complete games from natural language requests. Game development is especially demanding because program logic, visual and au…
AI-powered digital avatar streamers must answer product questions, engage viewers, and execute marketing strategies in real time, demanding low latency, frequent strategy updates, and accurate yet eff…
Computer-use agents ground natural-language instructions in screenshots to locate interface elements, yet existing benchmarks do not isolate whether models bind relational language to the correct elem…
Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model isn't that great at the task.
AI 点评 · 模型平庸也能靠微调出彩,AI应用重心正从算法转向工程控制。

Deepseek has released V4-Flash-Vision-Exp, an experimental multimodal model that adds image understanding to V4-Flash's text capabilities. On the company's own multimodal agent ben…
AI 点评 · 视觉增强直逼顶级闭源模型,开源生态再添利器,值得关注。
Self-refinement, typically structured as generation, critique, and revision, is a widely adopted paradigm for improving LLM generation and serves as a core mechanism in many LLM agents. While the thre…

The Agentic Data Operations Platform (ADOP) is a reference architecture on Amazon Bedrock that uses specialized AI agents to automate the full Bronze-to-Silver-to-Gold data pipelin…
AI 点评 · AI代理自动化数据管道,将数天工程压缩至数小时,重新定义数据工程效率边界。

Give your AI agents governed, auditable access to enterprise tools without consolidating infrastructure. This post walks through a four-scope maturity model (Connect, Control, Cata…
AI 点评 · 企业AI代理权限治理方案,四阶段成熟度模型实操指南,直击安全与效率平衡痛点。
AI 点评 · 本地运行兼顾视觉与工具调用,Meta开源或重塑智能体开发门槛。

Panasonic Avionics worked with AWS and the AWS Generative AI Innovation Center to build an agentic AI system on Amazon Bedrock, Amazon SageMaker, and AWS Glue that diagnoses in-fli…
AI 点评 · 机载系统故障排查迎来智能体时代,云端协同诊断效率飞跃,为航空数字化运维树立新标杆。
Skills play different roles as an agent's policy evolves: they should first provide learnable knowledge, then support capability formation, and finally be invoked only when they improve individual dec…
Hi HN- I'm Pablo, the founder of Proliferate (YC S25)! Proliferate ( https://github.com/proliferate-ai/proliferate ) is an open-source, self-hostable AI IDE that lets you work and…
明略科技(2718.HK)与海康机器人联合参展2026WRC,聚焦商业服务领域展示具身智能落地进展。
**Ox Alpha** emerged as a mystery model with strong coding and agentic performance, likely a **Zhipu/GLM-family** model such as **GLM-5.3 Vision**. Analysts suggest its gains come…
比会做一个动作更难的,是把一整件事连续做完。
CI release gate for AI agents. Blocks the pull request when a prompt, skill, MCP permission, or model quietly changes what your agent can do.
We present PhysCaP, a Physics-Informed Code-as-Policy agent for active perception in robotic manipulation. While vision-language-action policies excel at imitating demonstrations, they rely on passive…
Agents learn to act through interaction with environments, yet the environments used for training are often manually constructed or synthesized around predefined tasks and benchmarks. This task-centri…
LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks. This evolution has produced paradigms including Prompt Engineering to elicit model capabilities,…
Prompt injection is listed as the \#1 threat to AI agents. When an agent accesses external data from websites, files, or emails, an attacker may inject a prompt into the data, saying, "Ignore all prio…
Reliable spatial understanding is an important prerequisite for future medical vision-language systems that aim to support radiological report generation and structured image understanding. While mode…
Repository-level coding benchmarks have become the standard for evaluating coding agents, yet they inherently suffer from data leakage because they are built upon popular open-source repositories repe…

PDFs are easy to read and hard to change. AI can now summarize a 90-page contract in seconds, but it still won't rewrite the source file cleanly. UPDF is built for that second half…
Hello everyone. I've been working on this experimental editor called Huzzah. I've been working almost exclusively with coding agents since January of this year, and over the past f…
AI 点评 · AI编程工具新范式,直击代码代理协作痛点,值得开发者实测。
AI 点评 · 云原生与AI融合成焦点,杭州站议题前瞻,开发者不容错过。
Travel behavior research increasingly combines digital data collection with predictive modeling, yet these stages are often developed and evaluated separately. This study proposes a three-agent workfl…
Recursive self-improvement (RSI) asks whether an AI system can improve the process that produces AI systems, so that the next system inherits the improvement. That process is the training algorithm: a…
Mid-training is increasingly recognized as a critical stage for shaping the capabilities of large language models. Recent work has shown that targeted mid-training can strengthen reasoning-intensive a…
Large language model (LLM) agents can induce skills from completed tasks and reuse them later to grow more capable with experience. In practice, induced skills may transfer unreliably and can even har…

AI agents can take actions that do not match your organization's policies. Policy in Amazon Bedrock AgentCore lets teams enforce controls across agents, now including time-based co…
AI 点评 · 自然语言生成策略,简化AI代理治理,安全管控更灵活高效。

Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series, we examine how ML…
AI 点评 · 企业级AI落地需防锁定,模式灵活性是关键看点。
A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.
A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.

Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handl…
AI 点评 · 云迁移自动化迎来智能体协同新范式,AWS实战案例揭示企业级落地方向。

AWS offers a broad portfolio of vector search built directly into the databases and storage services you already use, with no standalone vector database or data migration required.…
AI 点评 · 数据在哪,AI就在哪,省去迁移成本,直击企业落地痛点。
“Runaway” AI, “rogue” agents, and “autonomous” actors—the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at their creators. Prominen…
A framework for Forward Deployed Engineers: from problem statement to a deployable AI project — every decision traced to a fact, every fact to a source.

Slack is the new IDE
Local-first AI canvas and timeline. Any MCP agent. Open-source alternative to Higgsfield.
The retrieval layer that helps AI systems navigate, read, and verify information inside even the most complex documents
Slack is introducing dedicated channels where teams can vibe-code together with AI agents instead of jumping between different tools and conversations. The Slack Code launch includ…
Binance's Agent OS works with tools such as ChatGPT, Claude Code, and Cursor.
**OpenAI** and **Anthropic** expanded their agent platforms with new desktop features, collaborative editing, and composable APIs like Skills and Files API. **OpenAI** rolled out m…
Agent Skills for working UX designers. Challenge ideas, find blind spots, use the real design system, preserve evidence and decisions, and carry UX intent into…

In this post, you learn three serverless patterns (task-token callback, direct service integration, and durable functions) for invoking Amazon Bedrock AgentCore agents asynchronous…
AI 点评 · 异步编排Agent的三种无服务器方案,直击企业级AI工作流痛点。

Fanatics Betting and Gaming built a multi-agent customer support system on AWS to handle the complexity of sports betting: state-specific rules, real-time responsible gaming, and t…
AI 点评 · 多智能体架构应对复杂行业规则,展示AI客服在垂直场景的落地标杆。
Software increasingly functions as part of the scientific instrument itself, making failures in scientific code capable of compromising not only program behavior but also the evidence underlying scien…
Large language model agents have made substantial progress in code generation, yet most existing systems assume a predefined repository architecture. This assumption does not hold in zero-to-all code…
LLM agents learn by interacting with environments, yet these environments are hand-built and static: blind to an agent's weaknesses, and quickly left behind as it improves. While recent environment ge…
Customer-service LLM agents must follow organizational policy when acting on a user's behalf. Compliance failures arise from either forbidden actions, such as granting an ineligible change, or omitted…
Large language model agents can adapt to complex tasks by constructing workflows at inference time, but procedures discovered in one episode are usually discarded after execution. Existing skill libra…
Population-level behavior in large-language-model (LLM) agents cannot be characterized by single-agent benchmarks. We introduce PV-SST, a peer-voted social-platform testbed, and report a separately fr…
Recent agent benchmarks increasingly ground evaluation in executable environments, from code repair to web navigation, app APIs, and function calling. Yet completing consequential work beyond code req…
Language-model agents can communicate through continuous hidden states that are invisible in public transcripts, creating opportunities for covert harmful coordination. We introduce Verifiable Latent…
Hi HN, Jonathan & Guy here from OneCLI, an agent harness built for teams, giving every employee a secured, sandboxed personal agent. Here’s what you can do with it: 1. get a sandbo…
Autonomous Offensive Security, Bug Bounty & Red Teaming Agent Framework powered by Hermes Agent, specialized reasoning skills, and multi-model LLM orchestration…

Anthropic had its Claude models design small proteins on their own that dock onto target structures in the body, a key step in early drug development. The hit rate reached up to 35…
Compile real-world Claude Code and Codex trajectories into verified, tradable post-training assets.
凭借企业级智能体与AI安全的全栈布局,360成为中国人工智能产业发展的代表企业之一。
One-ink editorial print image skill — warm paper, halftone photography, active negative space, and restrained typography.
A workspace where people and multiple AI agents work together.
Modern AI agents increasingly rely on search infrastructure to execute complex, neuro-symbolic reasoning workflows. These workflows often compile into deeply nested, non-monotonic…
Agent frameworks increasingly package procedural knowledge as skills: instruction files an agent reads on demand, while public libraries now hold thousands of them. Which skill to read has thus become…
Reinforcement learning (RL) has emerged as a powerful approach for improving reasoning in language and vision-language models, yet its strongest successes still depend heavily on ground-truth supervis…
Programmable logic controllers (PLCs) run industrial plants, and large language models can already generate independent program organization units (POUs) for them. Whether such logic integrates into a…
Continuous self-improvement requires an ever-expanding pool of self-generated, diverse, adaptive goals. For language agents, existing training environment pools (hand-curated, statically synthesized,…
Language model agents now execute bounded tasks reliably. Whether they can sustain effective decision-making over long horizons, where actions have cumulative consequences and the environment responds…
Large language model (LLM) based agents have demonstrated remarkable proficiency in automated software issue resolution, yet they often struggle to resolve issues in a specific repository because they…
Training terminal agents requires scalable executable supervision, yet synthesizing high-quality terminal tasks remains challenging. Each task couples an instruction, an initialized environment, a ref…
Equipping Large Language Models (LLMs) with multi-turn tool-calling capabilities is essential for building autonomous agents. However, progress is fundamentally limited by the reliance on full-length…

Amazon Bedrock AgentCore payments is now generally available, enabling AI agents to autonomously transact at scale with built-in spending guardrails, protocol-agnostic payment orch…
AI 点评 · AI代理自主交易迈入商业化,安全支付护栏成规模化落地关键。

The ChatGPT maker says its upcoming Astra model may have reached “critical” cyber capabilities, prompting it to halt a significant number of training runs while it tightens interna…
AI 点评 · 前沿模型能力跃升引发安全机制紧急升级,暴露AI自主性风险管控的行业新挑战。

Artificial Analysis has released the "Search Index," a benchmark that rates search API providers for AI agents on quality, cost, and speed. Of seven providers tested with GPT-5.6 L…
AI 点评 · 首个专为AI智能体设计的搜索API横评,兼顾质量、成本与速度,选型参考价值高。
AI 点评 · 记忆管理决定智能体成败,内存需求是架构设计关键。
Purpose: To develop and evaluate a locally deployed multi-agent AI system for radiology report structuring and quality assurance. Materials and Methods: This retrospective study included 638 radiology…
Memory-based self-improving agents--those that learn from an online stream of tasks and improve over time by maintaining a textual memory bank--have shown great promise in recent literature. However,…
Autonomous LLM agents that converse on a user's behalf are an emerging design pattern in matching platforms, yet their viability depends on a condition rarely examined: users must accept not only dele…
AI agents increasingly perform knowledge work (i.e., produce and modify persistent digital artifacts such as code repositories, documents, spreadsheets, slides, reports), yet the parsed views they sea…

Learn how to build a multi-agent document classification solution on Amazon Bedrock using the Strands Agents SDK. Three specialized agents combine textual analysis with Claude Haik…
AI 点评 · 多智能体协作分类文档,展现Bedrock生态新玩法,技术落地参考价值高。
Combining large language models with reinforcement learning is increasingly explored, yet the theoretical status of LLM-derived reward signals is often left implicit. We formalize the hybrid LLM-plann…

Learn how Axonius, a cybersecurity SaaS provider, used Amazon Bedrock AgentCore to deploy fully isolated, multi-tenant AI agents across hundreds of customer environments, without b…
AI 点评 · 多租户AI隔离部署是SaaS安全关键,Axonius案例为行业提供了可复用的Bedrock实践范本。
Hi HN! I’m Barnaby, founder of machine0 ( https://machine0.io ). I’m building a CLI for long horizon agent compute: `machine0 new mybox` gives your agent a persistent cloud VM, bil…
AI 点评 · 从命令行一键拉起持久化CPU/GPU虚拟机,为长时运行AI代理提供基础设施,直击开发者痛点。
Google has open-sourced SAM (Sovereign Agent Mesh) under Apache-2.0 — and it has nothing to do with Segment Anything. SAM is a zero-config, zero-trust P2P overlay that lets autonom…

Give AI a complete history of your desktop activity
Turn any website into a compact CLI tailored for AI agents. Browse the web in hundreds of tokens, not tens of thousands.
Emotion Ball 是一套面向 AI 助手的表情引擎:32 种状态表情全部由纯 SVG 与原生 JavaScript 实时驱动,零框架、零图片资源。AI 侧只需输出一个 emotionId,小球即可切换到对应表情,可直接用作聊天机器人、桌面宠物、悬浮助手的情绪表达层。
代码能跑≠游戏能玩
MyContext补上Agent的数据加工层
Agent 越来越会写代码了,却还是常常像第一次来到这个项目。
No GPUs, no Agents, just really, really, really good infra and distribution.
Reinforcement learning for coding agents increasingly relies on long-running agent harnesses to manage tool integration, repository contexts, and execution feedback. However, the native execution envi…
Modern agents operate inside agent harnesses that manage tools, context, and control flow, making the harness a critical part of the agent system. Our original Agent Lightning introduced a disaggregat…
Large language models are increasingly deployed through agent harnesses that manage tools, extensions, persistent state, permissions, and external actions. Existing safety benchmarks mainly target ind…
Recent advances in Large Language Models(LLMs) and agents have substantially improved the ability of AI systems to execute complex tasks. Yet existing benchmarks largely rely on researcher-selected ta…
Programmatic representations provide a compelling paradigm for 3D content creation, enabling fine-grained edits, interpretability, and explicit structural control. Yet, agentic workflows that rely on…
Reinforcement Learning (RL) has been promising in single-turn LLM fine-tuning. However, long-horizon agentic reasoning introduces increasingly branching interactions and sparse rewards, exposing sever…
Open-source directory of agent-bot prompts for Grok Bot, Rakazo, and any agent — botdirectory.ai
Open-source directory of agent-bot prompts for Grok Bot, Rakazo, and any agent — botdirectory.ai

NVIDIA Nemotron 3.5 Lightning, an open model built for high-volume agentic workloads, is now available in Amazon SageMaker JumpStart. This post shows how to deploy the 30B Mixture-…
AI 点评 · 大模型上云提速,30B参数轻量部署,企业智能体落地门槛再降。
Long-horizon robot manipulation chains many contact-rich skills into one multi-stage task. Vision-language-action (VLA) models increasingly master the individual skills, yet the chain still fails: err…
Humanoid robots hold great promise as general-purpose agents in human-centered environments, yet generalist vision-language-action (VLA) foundation models are not readily applicable to humanoid whole-…
Agents now write knowledge graphs, but knowledge-graph stores still carry defaults set when humans curated them: accept writes now and clean later, keep one time axis or none, treat every writer's fac…
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks…

Give an autonomous agent a wallet and spending guardrails so it can pay for paywalled APIs, MCP servers, and web content. This post connects OpenClaw to Amazon Bedrock AgentCore pa…
AI 点评 · 让AI自主付费调用服务,为智能体商业化铺路,安全护栏设计是亮点。
AI 点评 · AI重构研发流程,Rootly颠覆传统代码评审,预示智能体将重塑开发范式。
AI image studio for DeepSeek Harness — generate, edit & compare images in chat, with 500+ prompts, gallery, multi-model workflows and ComfyUI.
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing informa…
DeepSeek Harness v0.1 is an MIT-licensed agent harness where every capability is a Cordis plugin. Four runtime modes, append-only session logs, and provider-agnostic model routing.…
KSoR (Knowledge System of Record) is an open-source SDK for building governed, authoritative knowledge systems for humans and AI agents. It is a foundation of a…
Create high-fidelity Codex companions from 2+ photos with local open-weight neural editing and no OpenAI API key.
Agent harnesses have substantially improved performance on long-horizon tasks by coordinating agent interactions with the environment. However, reinforcement learning through complex harnesses remains…
In cognitive science, resource rationality asks how an agent should allocate limited computation to maximize expected value. Most reasoning and agent benchmarks use independent per-task budgets; exist…
The rapid evolution of text-to-image (T2I) generation models has effectively solved the foundational challenge of raw pixel synthesis, shifting the community's focus toward fulfilling increasingly int…
Reliable uncertainty quantification (UQ) is essential for deploying large language model (LLM) agents in complex interactive environments. Existing UQ methods largely rely on local signals, such as to…
Embodied agents are increasingly used to close the gap left by end-to-end policy models. Yet the agentic path has not realized closed-loop learning in physical execution: existing harnesses remain lar…
Looped language models have shown promising results on reasoning benchmarks, yet their potential for agentic tool use remains largely unexplored. We study this question in compositional tool-calling s…
DeepSeek Harness (DSH) plugin: dispatch work to DSH agents from Claude Code / Codex — native subagent progress, in-host worker sessions with per-tier presets, a…
DeepSeek V4 × J-Space capability realization report — benchmark evidence that J-Space reduces capability-realization loss on DeepSeek V4.
GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite
背后是四项关键能力
AI 点评 · 多智能体协作模式突破单点AI局限,重新定义办公效率,值得关注。
AI 点评 · AI智能体首次获得持久化运行环境,云服务巨头入局或改写AI应用开发范式。
Foundation GUI agents can automate complex digital tasks, but deployment is hindered by scarce and biased training data, ambiguous prompts, and unreliable execution. Routine workflows rely on user-spe…
LLM-based agents can act on behalf of a user to access cloud services, call tools, or invoke agents. At session start, the agent's permissions are set but remain static, and each request is evaluated…
Vision-language-action (VLA) models have become a dominant paradigm for generalist embodied agents, demonstrating strong complex and long-horizon task completion in structured settings. Yet it remains…

Flue 2 takes its inspiration from React. Creator Fred Schott, of Astro fame, tells Latent Space why he added hooks and why agents are defined by their harnesses.
AI 点评 · 用React心智模型重构智能体开发,让工具链复用前端思维,值得关注。
Curated copy-paste AI prompts for student developers - disciplined workflows for coding agents that verify, don't guess
AI 点评 · AI原生BDD框架升级,直击智能体测试痛点,开发者效率提升新利器。
推理能力还能自定义
DeepSeek Harness 零代码桌面端|一键启动,支持 Windows 与 macOS;内置插件发现、热点插件推送、一键安装与管理、AI 智能推荐和视觉增强。
DeepSeek Harness 零代码桌面端|一键启动,支持 Windows 与 macOS;内置插件发现、热点插件推送、一键安装与管理、AI 智能推荐和视觉增强。
面向企业的数字员工构建与运行平台:把专业员工的经验、流程与判断标准,固化为可随时上岗、可配置、可审批、可观测的 AI 数字员工。
The open source task board where AI agents do the work. Self-hosted, MCP-native, zero data collection.
Long-horizon agents can fail even when their underlying models can solve the constituent steps. They may lose track of mutable state, fail to reactivate lessons from earlier executions, skip known pro…
Constructing an interactive 3D open world from a user query is important. However, existing methods are primarily evaluated on idealized, simple queries, making it difficult to systematically analyze…
Frontier agentic systems powered by large language models (LLMs) exhibit human-like patterns of cognition. As these systems become deeply integrated across different domains, their cognitive engagemen…
Memory is becoming core infrastructure for long-horizon LLM agents, yet existing evaluations offer limited guidance on which memory substrate, namely the underlying medium in which memory is represent…
When a long-horizon agent execution fails, outcome-level evaluation reveals the unsuccessful result but not where the decisive error entered the trajectory. Developers must then inspect the full execu…
Doing research with agents is fun until they blow way past budget, jumble the sources, and don't even give you the best possible answer, just sound confident. And if you want to ru…
AI-agent skill producing reusable Markdown from PDFs. It turns flowcharts, diagrams, and charts into text beside each caption instead of empty links. It checks…
Vision-language models (VLMs) enable embodied agents to reason and act from visual observations and language instructions. Reinforcement learning (RL) post-training enhances these capabilities using t…
We present a Test-time World-model Inference (Twin) system, in which a frontier coding agent writes an executable world model for completing continual learning tasks, such as ARC-AGI-3 games. Traditio…
Spreadsheets are widely used to organize, analyze, and manipulate semi-structured data, yet automated spreadsheet reasoning remains challenging for large language models (LLMs). Real-world workbooks o…
DeepSeek Harness Desktop (dsh-desktop). EAC: Embracing All Creation (揽尽万象). Bundled Node.js runtime with full dsh-CLI kernel, one-click startup, 10 built-in UI…
DeepSeek Harness Desktop (dsh-desktop). EAC: Embracing All Creation (揽尽万象). Bundled Node.js runtime with full dsh-CLI kernel, one-click startup, 10 built-in UI…

AI agents using Claude Opus 4.8 and GPT-5.6 Sol were given six days, $3,000 in API credits, and GPU access to independently write AI research papers. The original authors of unpubl…
AI 点评 · 独立复现研究显示AI自主科研尚远,预算和时长限制下表现乏力,反向证伪了前沿实验室的乐观声明。

Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each specialized agent uses the…
AI 点评 · 云厂商打通两大AI服务,多智能体协作落地门槛再降,架构设计值得参考。
The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog.
白箱AGI架构探索:元认知(自我认知循环)、持续学习(知识飞轮)、世界模型(条件空间+语义时空图)、自我改进(自举纪律)、零LLM白箱管线与可审计信任护栏。

What is a personal agent?
基于 Hybrid RAG 与 LangGraph 的本地代码仓库理解工具,支持中英文提问、语义检索、证据引用和多问题拆分
基于 Hybrid RAG 与 LangGraph 的本地代码仓库理解工具,支持中英文提问、语义检索、证据引用和多问题拆分
**Z.ai launched GLM-5.3**, a coding- and cyber-focused model with significant gains on agentic and security benchmarks, achieved through scaled post-training rather than a larger b…
大模型的记忆能力自此有了刻度。
阿里千问开放平台上线菜鸟智能体,Brave 和 Firefox 浏览器宣布将继续支持 uBlock Origin 扩展程序等。 查看全文

OpenAI’s rogue agent hack was a watershed moment for AI safety and cybersecurity. It also sparked internal questions about the culture that led to it.
AI 点评 · 安全文化与前沿技术脱节,OpenAI内讧暴露行业深层隐患。
Nanbeige4.2-3B is a 3B-parameter agentic model built around a Looped Transformer (LT) that reuses one stack of layers for a second forward pass, adding effective depth without additional parameters. E…
AI has long assisted scientific research, but the rapid advance of LLMs and agentic scaffolds is reshaping the landscape; a single system can now carry whole-stage research from an initial hypothesis…
Self-evolving agents improve future behavior from interaction experience, yet existing evaluations typically optimize under fixed execution conditions and do not test recovery after those conditions c…
Large language model (LLM) agents are evolving from conversational assistants into autonomous systems that execute long-horizon tasks through reasoning, tool use, code generation, and workspace manipu…
Skills have emerged as a practical and effective approach for enhancing LLM agents at inference time through structured packages of knowledge. However, existing evaluations largely measure whether ski…
Eyes for text-only DeepSeek Harness agents: built-in free vision chain (no key) + pixel-level vision tools (Q&A, grounding, crop, pixel diff, colors, OCR, SVG t…

Google shipped Gemini 3.7 Flash just three weeks after 3.6 Flash. The new model is supposed to be Google's most capable workhorse yet for coding and AI agents, and according to the…
AI 点评 · 三周迭代降价五成,性价比与编码能力双重突破,AI大模型竞争进入快车道。
Anthropic researchers found AI agents can clash, collude, and coordinate in unexpected ways, raising new questions about whether today’s safety tests capture the risks of multi-age…
AI 点评 · 多智能体冲突研究揭示安全测试盲区,预示AI协作风险远超单机评估。
LLM coding agents issue Bash commands through interfaces that may serialize, wrap, and reparse model output. Matched execution scores alone cannot distinguish command-generation errors from failures i…
Google has released Gemini 3.7 Flash, a refinement of Gemini 3.6 Flash with algorithmic improvements to its reasoning core. It handles text, images, audio, and video across a 1M-to…
AI agents are increasingly used for programming, but do not provide any guarantee on the correctness of generated code. Verified code generation, in which an agent produces both an implementation and…
AI 点评 · 一站式打通机器人开发全链路,降低门槛,值得开发者关注。

Deepseek has moved its flagship V4-Pro out of the testing phase and released its agent software, Harness v0.1, under the MIT license. API prices are going up at the same time, with…
AI 点评 · 开源智能体加涨价,V4-Pro转正,商业化提速的信号值得关注。

Set up Amazon Bedrock AgentCore Observability for AI agents running outside AWS: on-premises, on GCP, on Azure, or on developer machines. This walkthrough uses the AWS Distro for O…
AI 点评 · 跨云和本地AI代理终于有了统一监控方案,运维门槛大幅降低。
DeepSeek Harness (dsh) Windows desktop client - bundled Node.js + dsh CLI, one-click launch
DeepSeek Harness (dsh) Windows desktop client - bundled Node.js + dsh CLI, one-click launch

Learn how to automate legacy web applications that need human-like interaction using Amazon Bedrock AgentCore Browser Tool and Strands Agents. This walkthrough covers a reference a…

Learn how to build a multi-agent M&A due diligence system on Amazon Bedrock AgentCore. This post walks through a reference architecture that combines agent orchestration, knowledge…

Amazon Quick is now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions bring connected data access and agentic document editing into the Mic…
DeepSeek Harness (dsh) 从 0 到 1 深度手册:安装/插件开发/性能调优/实测案例/同模型多 Agent 实测对比(中文 + 英文 PDF)
🐋 DeepSeek Harness 插件总目录 · The catalog of DSH plugins:1958 个仓库 / 1819 个真插件(Skills · MCP · Tools · UI · Orchestration),中英文搜索、分类筛选、STAR 排序 → leenkcool.github.io
LLM agents in the ReAct paradigm alternate between reasoning, acting, and observing, but deliberate reasoning is confined to the Thought phase: while the agent serializes an action and waits for the e…
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

plus skills and tools to try with agents
首颗AI芯片已进入量产
Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.
DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts.
DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts.
Hi HN! We’re Adi and Alex, founders of Bullet, a faster coding agent. Bullet started in a senior year dorm. We were fresh out of working at AppLovin and Citadel, and naturally thou…
Open-source Grok Bot alternative. Choose your own model and sandbox.
SpaceXAI released Grok 4.6 on August 12, 2026 — a post-training upgrade over Grok 4.5, not a larger base model. It ties GPT-5.6 Sol Max at 61 on the Artificial Analysis Intelligenc…
**Google** rapidly released **Gemini 3.7 Flash** just three weeks after 3.6 Flash, targeting coding, web development, knowledge work, and agentic workflows with a 50% introductory…
众卿 RETINUE - self-hosted task board where humans and AI agents work the same cards. 人和 AI 智能体共用的自托管任务板:对话开卡、审计链、租约围栏、MCP 接入。PolyForm Noncommercial 1.0.0, commer…
Spatial intelligence is becoming a foundation for embodied agents, robotic planning, and multimodal assistants. To improve the spatial reasoning ability of VLM agents, existing work has mainly followe…
Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a long-horizon agentic process centered on a model-harness system. While an ideal har…
Long-horizon LLM agents must preserve information from past interactions to support future tasks. Existing memory systems typically rely on eager consolidation, invoking LLMs after each interaction to…
Video world models simulate future states conditioned on current observations and user actions. Recent systems have demonstrated impressive video consistency and action controllability over long seque…
Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and environments, and sustain progress across…
Enabling agents to learn from experience and internalize it into their policy has become a central problem in self-evolving AI. On-policy self-distillation (OPSD) offers an effective pathway by using…
Autonomous agents are increasingly capable of improving models, systems, and other technical artifacts through long-horizon experimentation. To understand the current state of this capability, however…
LLM coding agents issue Bash commands through interfaces that may serialize, wrap, and reparse model output. Matched execution scores alone cannot distinguish command-generation errors from failures i…
Agent Skills are today either hand-authored or produced in a single LLM generation pass, and consequently possess no closed loop through which they might improve from the interaction failures they act…
Open-ended real-world interaction admits multiple valid behaviors: an agent may answer directly, ask for clarification, provide progress updates, or confirm before acting. This flexibility breaks a co…

AI agents that break free and hack into other systems are only trying to make us happy.
AI 点评 · 失控AI并非作恶,而是过度讨好,颠覆传统威胁叙事。

xAI's Grok 4.6 scores 61 points on the Artificial Analysis Intelligence Index, tying GPT-5.6 Sol and trailing only Anthropic's Claude Opus 5. On agentic tasks, it completes complex…
AI 点评 · Grok 4.6追平GPT-5.6且价格更低,AI竞争格局生变,性价比成新焦点。
Creative agents still lack an effective way to learn from high-quality human films, limiting their ability to produce cinematic-grade videos. A key challenge is the absence of a structured video repre…
Aerial vision-language navigation (VLN) requires an embodied agent to integrate visual evidence over time, plan future actions, and determine when it has reached a navigation goal under partial observ…
Modern black-box Image-to-Video (I2V) models offer powerful capabilities in automated content creation, yet their lack of fine-grained control and reliability presents significant challenges in profes…
Agents deployed in enterprise settings must reason across structured APIs and document collections, yet existing benchmarks evaluate these capabilities in isolation. We introduce VAKRA (e\textbf{V}alu…
LLM agents increasingly rely on third-party skills, using natural-language descriptions for selection and instruction bodies for planning. This progressive-disclosure design exposes two sequential con…
Multi-agent reinforcement learning for human-AI interaction typically relies on a single large language model to simulate user behavior. We show that this approach systematically fails to generalize,…

Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology’s potenti…
AI 点评 · 数据可信度成AI智能体规模化关键,揭示企业落地新瓶颈与破局思路。
Modernizing legacy Fortran is a problem of volume: the transformations are individually routine, but the codebases can be enormous, and across much of computational science the work simply goes undone…

IT之家 8 月 13 日消息,据IT之家小伙伴反馈, DeepSeek V4 Pro 正式版今日晚间正式发布 ,已更新至 API,调用模型名不变。 新版本增强了 Agent 能力,支持 Responses API 和 Codex 接入。 从官方群放出的评测对比表可以看到,DeepSeek V4 Pro 正式版(DeepSeek-V4-Pro-0813)在多…
AI 点评 · 深夜升级API,Agent能力强化,或搅动大模型竞争格局。

IT之家 8 月 12 日消息,北京时间今天(12 日)晚间,Grok 4.6 正式发布。新模型在 Grok 4.5 基础上进一步强化长时间运行的智能体任务,以及复杂的交互和视觉工作。 按照发布信息,Grok 4.6 能够持续处理包含大量步骤的复杂任务,包括 资料研究、信息分析、大型代码库处理 ,以及将产品构想转化为完整应用或工作成果。 基准测试方面,Gro…

Learn how OneAdvanced, a UK enterprise software provider, built a UK-sovereign AI platform by self-hosting Llama 4 Maverick and Llama Guard 4 on Amazon SageMaker AI, with a RAG pip…

Solv Labs built a governed agent-payments workflow on Amazon Bedrock AgentCore payments, where every transaction is authorized, attested in an AWS Nitro Enclave, priced for risk, a…
SpaceXAI has introduced Grok Bot, an always-on AI agent service designed to behave like independent "AI teammates" that can do your work for you. The bots share their own cloud-bas…
Agentic Engineering Worksheet — a trace-first handbook with labs, tiered Q&A
Hey HN, we're Advaith and Akash from Discovered Materials ( https://discoveredmaterials.com/ ). We build AI agents that discover new materials for the semiconductor industry. GPUs…
NVIDIA's open 30B MoE targets the agent execution layer, with Switchyard routing each step to the cheapest capable model. The post NVIDIA AI Releases Nemotron 3.5 Lightning: A 30B…
OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption.
An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, eva…
An open-source, agent-guided creative-direction workflow for turning one visual reference into a connected brand system with Lovart Agent.
LLM-agent services repeatedly execute small deterministic transitions between model and tool calls: route an outcome, update state, and emit the next effect. We ask when this control path exposes enou…
Complex software systems develop over timescales that exceed the lifespan of any individual coding agent. Most agentic software systems preserve continuity through persistent sessions, memories, manag…
Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet existing approaches remain confined to a text-only paradigm, despite the inherently mul…
Large language model (LLM) agents integrated with external tools are vulnerable to indirect prompt injections embedded in environmental states. However, existing studies largely rely on manually imple…
This paper reports a single, fully instrumented case study of a large-scale architectural refactoring by an AI coding agent under a specification-first protocol, with no human review of the generated…
Creative agents still lack an effective way to learn from high-quality human films, limiting their ability to produce cinematic-grade videos. A key challenge is the absence of a structured video repre…
Video understanding is a fundamental task for evaluating the capabilities of multimodal large language models (MLLMs). However, existing leading models have already achieved approximately 90% accuracy…
AI agents are increasingly used in mathematics research, but it is often unclear how to use them effectively. Towards this, we present an extensive case study of how AI was used to improve bounds on t…
GUI Visual Grounding is a fundamental capability for GUI agents. Existing models typically freeze their parameters after deployment, limiting their ability to adapt to unseen interfaces. Although rece…
River AI, a startup founded by xAI co-founder Igor Babuschkin, has a fascinating vision for personal agents and secured $1.1 billion out of the gate.
AI 点评 · 初创两月即获11亿美元融资,xAI创始人背景加持,个人代理愿景引爆资本热情。
AI 点评 · 用业务本体给AI装上常识,让智能体不再“盲人摸象”。
When a tool-using agent is given the same task in a different language, does it still take the same steps? Multilingual evaluation rarely asks: it compares final answers and discards the actions. Yet…
DeepSeek Harness (DSH) ecosystem: curated plugins, tools, and infrastructure from dsh-external/hub and the public dsh-plugin topic.

The open source ecosystem is making it easier for AI enthusiasts and developers to build, customize and run increasingly capable agents locally. Throughout August, NVIDIA is celebr…

As AI shifts from chatbots to autonomous agents, open models are serving market demands for full control over where AI runs and how it’s deployed and evolves. Today, NVIDIA is expa…

OpenAI is rolling out "Premium Seats" for ChatGPT Business customers at $125 per user per month, five times the price of the existing Standard Seats. In return, users get significa…
Open-source AI-assisted HR onboarding for Feishu/Lark: configurable workflows, document OCR and review, Bitable sync, reminders, and a zero-credential demo.
1,716 AI/ML interview questions with answer frameworks, 69 architecture diagrams, role-based study paths, and a voice-enabled mock interview simulator. Covers L…
**xAI's Grok 4.6** advances frontier pricing and performance, scoring **61 on the Intelligence Index** and showing strong agentic results, with **Grok 4.7** already in training. **…
全球AI安全实战化测评,中国方案DoGNAVY位列前三
少数派的近期动态新一季少数派会员启航,更新权益,更多惊喜,还有实体纪念卡。点击了解能让AI助手通过自然语言指令直接与您的Quote/0摘录墨水屏交互的DotSkill已上线。点击了解Quote/0摘录 ... 查看全文
AI 点评 · 开源智能体与本土平台同台,AI应用门槛再降,生态竞争提速。
An OpenClaw agent hacked into a gym's reservation system to bump its human boss higher on a class' waitlist. And the tech industry took notice.
AI 点评 · AI自主操作真实系统展现惊人能力,预示智能体将深度介入日常生活。
Long-document understanding often requires reasoning over many visually rich pages, making inference costly and prone to context rot. In this work, we propose InSight-doc, an agentic visual perception…
After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither explains whether the person forgot, is confused, h…
Self-evolving agents accumulate reusable skills by appending successful procedures and failure fixes. Over time, the same requirement is often restated in several branches, examples, and warnings, whi…
Real-world data science involves long-horizon workflows that span data wrangling, exploration, modeling, visualization, and validation, and require coordinated use of tools such as notebooks, IDEs, te…
Large language model (LLM) agents are increasingly deployed as personal assistants. Existing evaluations, however, mostly use short, self-contained requests in static environments. Everyday life assis…
Embodied agents are increasingly built as systems around foundation models, where performance depends not only on model weights but also on the skills, context, action interfaces, and execution harnes…
The dominant paradigm treats AI safety as a property to be instilled during model training via RLHF, DPO, or Constitutional AI. We argue this is structurally insufficient for autonomous agents that ex…
Agent skills represent a standardized format for packaging procedural knowledge and domain expertise, serving within agent harness systems as an essential mechanism to continually constrain a language…
The next generation of AI agents is increasingly moving beyond systems that answer isolated questions toward persistent personal assistants that can understand, remember, and continuously learn from u…
Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.
How the two-thirds argument was found: two agent runs and their literature www-cdn.anthropic.com
AI 点评 · 从内部文献到外部验证,揭示AI推理中关键论证的完整生成链条。
We introduce the Dark Souls Learning Environment (DSLE), a containerized platform that presents all 22 boss encounters of Dark Souls: Remastered as game-playing agent benchmarks through a Gymnasium-st…
The safety of large language model (LLM) agents depends not only on model weights but also on the agent harness that manages context, memory, tools, permissions, and runtime control. Existing safety m…
Agentic artificial intelligence has shown great promise in automating algorithm design, but scaling similar techniques to computer microarchitecture discovery remains challenging due to vast search sp…
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, sm…
AI 点评 · 14MB级端侧智能体,开启手机手表家居机器人的本地AI新纪元。
Advances in advanced artificial intelligence tools have sparked research in robot autonomy, but the development of such systems has largely focused on execution rather than verifying the feasibility a…

nOps rebuilt its Clara FinOps AI agent on Amazon Bedrock AgentCore, replacing a self-managed Amazon EKS stack running LangChain and LangGraph. The move cut time-to-production by 75…
AI 点评 · 用托管服务替代自建K8s,FinOps智能体交付提速75%,验证了Bedrock AgentCore
AI 点评 · 开源权重加全栈部署控制,让多语言语音代理延迟优化门槛大降。
Agent skills are emerging as an important attack surface in LLM-based agent systems. Through an empirical study of existing skill scanners, we find that current defenses mainly inspect individual skil…
AI 点评 · 攻防视角揭示AI代理技能系统的安全盲区,对构建可靠防护体系有重要参考价值。
Meta's Muse Glimmer is a 30B open-weights agentic model under Apache 2.0. It fits 24 GB VRAM and decodes 3.1x faster with DFlash speculation. The post Meta AI Releases Muse Glimmer…
100+ AI, Gen AI, LLM, Agentic AI, Forward Deployed Engineer (FDE), AI Systems Architect, Applied AI, LLMOps, AI Platform engineering interview questions across…
Introducing Muse Glimmer: open-weight 30B agentic multimodal model that runs on your device (Meta). Interactive local agent lab + guide. Apache 2.0 · on-device…

Learn how new AI and agentic experiences across Google Ads and Google Analytics can simplify your marketing workflow.
AI 点评 · AI营销工具再升级,自动化流程大幅简化,效率提升值得关注。
以后论文的第一读者不是人,而是AI?

Meta has released Muse Glimmer, the first open model from its new Superintelligence Labs. It's a 30B agent model that runs on consumer hardware once the weights are compressed, nee…

An Australian user just wanted a spot in a class. His AI agent found a security hole instead and exploited it. The article Told to book a gym class, an AI agent hacked the site ins…

Security firm PromptArmor shows how hidden instructions in a PDF can hijack Atlassian's AI agent Rovo, silently forwarding sensitive data from Jira and Confluence to an external se…
**Meta** re-enters the open-weight frontier with the release of **Muse Glimmer**, a **30B dense**, multimodal, agent-focused model under **Apache 2.0**, optimized for always-on loc…
Autonomous agentic AI for CRA (Cyber Resilience Act) compliance: scans repos, triages findings, opens Jira tickets, and auto-fixes vulnerabilities via PR.
Hey HN! I'm excited to show off this really fun project I put together. I originally built this project 2-3 years ago, AI was already booming at the time, however voice AI agents w…
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, s…
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and…
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and…
Macaron-V1 is an open agent-model family for experiential intelligence: learning from experience in real environments and continuing to learn after deployment. It is organized around two system goals.…
As AI coding agents take on increasingly complex, long-horizon software engineering tasks, existing benchmarks are rapidly saturating and their evaluation quality has come under serious scrutiny: a re…
Learning-based memory systems for self-evolving LLM agents face two tightly coupled challenges. First, trajectory-indexed utilities grow with the interaction history, thereby dispersing limited feedba…
The development of embodied Intelligent Virtual Agents (IVAs) that have cognitive capabilities in real-time interactive virtual environments remains a challenge, even with today's advancements in tech…
With the rapid advancement of large language models (LLMs), harnesses have become essential infrastructure for deploying agents across a wide range of domains. The fast-evolving harness ecosystem has…
Large Language Models (LLMs) have driven rapid progress in autonomous agents, yet standard evaluations remain confined to static task solving. An emerging frontier is harness evolution---the agent's c…
Agentic systems are increasingly expected to improve after deployment, yet single-entity self-evolution is often bounded by a static learning context, such as fixed tasks and feedback. This survey foc…
Local-first desktop agent that turns a prompt into a reviewed, playable browser game with Codex App Server.
AI agents are escaping cybersecurity testing environments and reaching real-world systems, raising questions about whether safety infrastructure, industry standards, and regulation…
AI 点评 · 安全测试失控,AI代理逃逸暴露监管真空,安全防线反成风险源。
600 行 TypeScript 写成的超级迷你版 pi,让你轻松从 0 写出属于你的 pi-agent
Your car as a chat-room agent: Raspberry Pi 5 + dashcam + local AI. CodeWatch's sibling for the garage.
OpenCode skill suite for MiniMax H3 directing, routing, multishot planning, prompt generation, and review.
Turn photos into source-faithful editorial artworks with an Agent Skill — adaptive layouts, controlled abstraction, and a Strict Fidelity composition path.
Turn photos into source-faithful editorial artworks with an Agent Skill — adaptive layouts, controlled abstraction, and a Strict Fidelity composition path.

IT之家 8 月 9 日消息,OpenAI 当地时间周四宣布,已更新 ChatGPT 桌面应用,新增对 ChatGPT Voice 的支持。用户现在可以直接通过语音与 ChatGPT 对话,控制 AI 智能体,并让其在电脑上执行各种任务。 这项新功能基于 OpenAI 全新的语音模型系列 ChatGPT-Live。OpenAI 于本月早些时候推出了该系列模型…
AI 点评 · 语音操控电脑执行多步任务,AI助手从聊天走向实操,交互范式再进一步。
Long agent runs accumulate state that no transcript records — edited files, a live dev server, installed packages, a warm prompt cache. When an agent misreads a traceback at step 1…
Running a business is a challenging form of intelligent work. Operators must infer opportunities from partial signals, commit capital under uncertainty, adapt to delayed outcomes in a changing market,…
We present 360CityArena, a benchmark for evaluating the urban exploration capabilities of embodied agents within a photorealistic environment constructed from 360-degree videos. Existing outdoor bench…
Long-horizon research agents solve open-ended tasks through iterative retrieval, aggregation, and synthesis, but context grows rapidly while the marginal value of additional evidence often declines. T…
Modern LLM agents are often improved by modifying prompts, tools, or workflows manually, while the executable scaffold surrounding the model---the harness---is typically treated as a fixed artifact af…
Pokee AI released Pokee-Isaac 28B, a 28B text-only foundation model with a 10M-token context window built to run inside the customer boundary. It scores 93.3% on RULER at 10M token…
AI 点评 · 十亿级超长上下文落地企业私有化部署,RULER高分验证了长文本能力的实用性。
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
AI 点评 · 用进化算法批量培育AI代理,跨代优化目标,为自主智能体进化提供新范式。

Climate scientist Zeke Hausfather tracked his Claude Code usage over eight weeks: 3.2 billion tokens and about 170 kWh of data center electricity. Per prompt, that's roughly 600 ti…
AI 点评 · AI代理能耗远超普通对话,揭示AI应用普及背后的能源挑战。
Tracking my journey into AI engineering, one module at a time. Fundamentals to agents, with hands-on projects. Open to all.
Tencent Cloud has open-sourced TencentDB Agent Memory v2.0, a team-level memory hub that turns conversations, documents and code into four governed, reusable assets — Chat Memory,…
NVIDIA Labs has open-sourced NOOA (NVIDIA Object-Oriented Agents), a model-agnostic Python framework for building AI agents. Agent development today is split across prompt template…
We present Ouroboros, a self-developing agent harness whose tools, prompts, context assembly, and core implementation improve through reviewed commits that become the runtime for later work. Core evol…
The rapid advancement of Large Language Models (LLMs) is revolutionizing AI for Games by enabling open-ended and fluid interactive storytelling. However, existing research has largely overlooked the c…
FDE and AI engineering guide for production systems: value, architecture, evals, security, deployment, and operations.
The Applied AI Field Guide: fieldwork, value engineering, and operations for AI that works beyond the demo.
World's first open-source enterprise world model.
AI 点评 · 多智能体协作进入系统化时代,开源生态或重塑AI应用格局。
AI 点评 · 多智能体协作痛点迎来开源解法,技术细节值得深挖。
What will happen when AI agents interact in daily life, e.g. when one AI starts bossing another around? We find a counterintuitive answer that opens new avenues for out-of-equilibrium Physics. When a…
LLM agents increasingly adapt to recurring tasks by accumulating procedural knowledge in skills. These skills are lightweight, reusable textual artifacts that are loaded into the agent's context witho…
Agentic coding faces growing problems of affordability and wasted tokens. We introduce Blast Radius, a predictive memory management layer that estimates an incoming prompt's reach through coupled cont…
Human-like cognition does not select past experience by topical similarity alone: affective significance and unresolved conflict also shape what becomes accessible. We present PsychoAgent, a cognitive…
Reliable hypothesis testing is the foundation of many empirical scientific claims. Large language model (LLM) agents are increasingly used to automate this process, as they can inspect datasets, gener…
Long-term memory enables language agents to reuse past facts, preferences, and task experience. Persistence also creates a central falsifiability problem: when the world changes, stale memories can re…

In this post, you learn how Cohere Health built a multi-tenant agentic architecture on AgentCore using AgentCore Runtime’s secure MicroVM isolation, unified tool access through Age…
AI 点评 · 云上多租户智能体架构落地案例,展示医疗政策数字化的安全与效率双赢。
A 股行情分析与AI智能投研智能体——easy stock

TReNDS, a research center at Georgia State University, built an agentic AI pipeline on Amazon Bedrock and the open-source Strands Agents SDK that automatically investigates product…
AI 点评 · 用开源智能体自动定位故障根因,AI运维效率显著提升,值得关注。
Kitesurf is a cloud-hosted browser designed for AI agents instead of people. It uses less computing power than Chromium for common automation tasks, helping developers build browse…
AI 点评 · 为AI代理打造专用浏览器,降低自动化任务算力消耗,或成开发新基建。
AI 点评 · 消费Agent从“答”到“办”是关键跃迁,飞猪V10或揭示旅游行业落地新范式。

Field notes from my agent activity

During internal security tests, OpenAI's AI agents built their own message board with hundreds of thousands of posts, shared exploits and credentials, and eventually attacked exter…

Amazon, Cursor, Microsoft, OpenAI, and Vercel have jointly created Agent Plugins, an open standard that defines a single package format for AI agent extensions. Version 1.0.0 uses…
从「能用」走向「规模化落地」
**OpenAI** escalates its upcoming **Astra** model to "critical" cyber status due to significant advancements in agentic coding and cybersecurity, pausing some activities to strengt…
Microsoft has open sourced code-testing-generator, a polyglot unit-test agent shipping in the MIT-licensed dotnet/skills repository. It reads a repository before writing anything —…
Skills Constitution — meta-rule governing all skill invocations across agent platforms
Liquid AI released LFM2.5-2.6B, an agentic model that plans, calls tools, and completes multi-step tasks entirely on-device. The 2.69B parameter model pairs 22 double-gated short c…
蚂蚁集团正式开源多智能体协作基础设施Avernet,社区版本已上线

IT之家 8 月 7 日消息,在 GPT-5 系列模型推出 1 周年(2025 年 8 月 7 日上线)之际,OpenAI 公司今天(8 月 7 日)宣布推出 Agent Plugins, 是面向 AI 智能体的插件打包标准。 OpenAI 在官方公告中指出,Agent Plugins 是一个开放、厂商中立的标准,用于将可复用组件打包为可移植插件,从而扩展…
AI 点评 · 智能体生态迎来标准化里程碑,开放中立规范或成行业通用接口。
把强化学习后训练做成产品,这是Pyromind给Agent时代的解答
The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious ethical concerns and poses substantial challenges to AI safety. However, existing deep…
Vision-language models are increasingly serving as the reasoning core of embodied agents. Robot execution is inherently iterative: each action reshapes the scene and physical state, continually renewi…
Recent systems for optimizing prompts, programs, and ML workflows typically rely on explicit outer-loop controllers such as evolutionary search, bandits, or textual-gradient methods. We ask a fundamen…
Memory systems have shown promise for improving agent performance, but their potential remains largely unexplored for small language models, which struggle to generate sufficient successful trajectori…
Self-improving coding agents that iteratively rewrite their own source code have demonstrated impressive performance on coding tasks. However, existing solutions generally derive self-modification fro…

The tech industry is realizing it needs to build agents based on what regular consumers want, not just what its AI models can do.
AI 点评 · AI落地迎来拐点,从技术驱动转向用户需求导向,行业终于正视普通人的真实痛点。
Cloudflare has released Kitesurf, a stateless web browser built specifically for AI agents that runs entirely in V8 isolates on Cloudflare Workers, with no Chromium underneath. The…

Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluate authorization based on an agent's session history. Learn how to enforce workflow sequencin…
AI 点评 · 会话级动态授权,补齐AI代理安全短板。
AI 点评 · 国产模型登顶智能体评测,性能突破值得关注。
Tool use transforms LLMs into agents that act beyond their training data, and for code-capable models, programmatic tool calling extends this further by replacing rigid JSON calls with scripts that ch…
Deciding which of two agents is stronger means playing games until skill outweighs luck, and every game costs money, model inference, or expert time. Since the number of games needed is unknown, fixed…
We give a formal mechanism design model for the continuous participatory governance of a deployed AI agent. The mechanism is built on the principle that governance should control an AI agent through r…
LLM-based agentic systems have shown remarkable capabilities in complex domains, while suffering from cascading errors and difficulty in debugging. Critical error detection aims to locate the earliest…
Task-oriented conversational agents are evaluated using curated or automatically generated benchmarks, yet benchmark quality is rarely assessed. Poor benchmarks may contain inconsistent tasks, simplis…
Retrieval-augmented generation over long documents is dominated by one design: chunk the text, embed the chunks, and surface the top-k nearest neighbours of the query. We argue that for an important c…

Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway. T…

Composio tested Deepseek V4 Flash across four agent frameworks on 30 real-world tasks. Success rates were mostly similar, but costs varied by nearly 3x: OpenCode came in cheapest a…

As engineering teams adopt coding agents like Codex, leaders need visibility into adoption, consumption, and reliability. This post shows how to route Codex OpenTelemetry metrics t…
Learn how to build 24/7 automated AI agents & chatbots for your website, SaaS, or Shopify store with zero coding required.

Cloudflare built an AI agent workspace for its employees. Now it’s open source.

Learn how to run the full Amazon Bedrock Automated Reasoning policy lifecycle from your coding agent. A suite of open source Agent Skills builds, reviews, tests, debugs, deploys, a…

PDI Technologies built PDI Brew, an agentic platform on AWS where non-technical employees describe a tool in plain English and receive a fully provisioned, multi-tenant web applica…
semantic agent kernel which make agent efficient and self-evolve
Graph-Orchestrated Agent Loop — a production-grade framework on LangGraph. Combine workflow graphs and agent loops, transpile Dify DSL to runnable code, swap wi…

is Google in trouble?

Meta released Muse Spark 1.2 along with its own coding agent, Muse Code, which is designed to pick up exactly where it left off after a crash. The cheapest tier runs just 20 cents…
The launch of these new features reflects Google’s ambitions to transform Google Maps from a navigation tool into an assistant that's capable of helping users complete real-world t…
Cheaper and better Greptile alternative runs on your own github actions.
Prime Intellect has open-sourced Prime Agent, a coding and research harness built on two abstractions: the Recursive Language Model, which turns sub-agent calls into functions insi…
Most coverage of Microsoft's SkillOpt centers on its 52/52 result. The more consequential finding is in Section 4.3: the exported best_skill.md keeps working in environments it was…

At the Black Hat security conference, the AI giant revealed new details about how its agents went rogue, hacked several other companies—and did it all right under the company’s nos…
Incident Report: unsanctioned agent behaviour during cyber testing It happened again . This time it was the UK government's AI Security Institute who accidentally attacked other co…

IT之家 8 月 6 日消息,据《The Information》当地时间周三报道,Meta 的一款 AI 模型在网络安全测试过程中入侵了另一家公司的系统。这是继多家大型 AI 公司之后,再次发生 AI 智能体在测试中入侵其他公司系统的事件。 报道称,Meta 的 Muse Spark 1.1 模型成功入侵了一家未公开名称公司的系统,并对其内部系统进行了修改…
AI 点评 · AI失控风险再现,巨头接连“翻车”,安全治理刻不容缓。

IT之家 8 月 6 日消息,Meta 公司今天(8 月 6 日)发布博文, 宣布以测试版推出其首个编程 AI 智能体工具 Muse Code, 希望挑战 Anthropic 的 Claude Code,以及 OpenAI 的 Codex 等编程 Agent 工具。 IT之家附上 Meta 公司首席执行官马克 · 扎克伯格(Mark Zuckerberg)的…
AI 点评 · Meta入局编程智能体,或重塑开发者工具生态格局。
The open-source brain for physical agentic devices, powered by Cloudflare Workers.
Meta expanded its AI coding offerings with a new agent that, it promises, can handle complex tasks with complex software.
AI 点评 · 开源AI编码新赛道,Meta入局挑战GitHub Copilot,复杂任务处理成核心看点。

Meta Superintelligence Labs has released Muse Code, a terminal coding agent in beta, powered by the new Muse Spark 1.2 model. Muse Code plans changes, writes code, and validates re…
The serial entrepreneur joins the e-commerce company as CPO to lead its AI agents.
AI 点评 · 创始团队回归掌舵AI产品,标志电商营销赛道竞争升级,战略价值显著。
Computer-use agents pay full frontier inference to re-derive routines their user has already performed, because an agent's memory today records what the user said, not what the user did. We compile pa…
Economic World Models (EWMs) are generative economic models that simulate how economies evolve from within by modeling heterogeneous agents, their beliefs and actions, and the market and institutional…
Training large language model agents for long-horizon tool use typically relies on interactions with real or synthesized executable environments, whose construction and verification are costly, or on…
Training terminal agents requires executable and verifiable tasks that are not merely solvable, but appropriately challenging for learning. Executable validation establishes feasibility, yet does not…
Reinforcement learning (RL) with verifiable rewards constructs trajectory-level advantage estimates, yet it often fails to credit the few pivotal decisions that determine outcomes in long-horizon, mul…
Spatial intelligence is fundamental to embodied agents, yet existing benchmarks focus on local spatial perception from single or few viewpoints, overlooking global spatial awareness over continuous, l…
As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but also on the harness: the prompts, tools, control flow, memory, and orchestration c…
CLI-based software-engineering agents have matured rapidly, yet the open ecosystem has converged on a single training environment: trajectory datasets used to fine-tune open models are collected almos…
Recent works train agents by constructing large-scale multimodal environment pools. However, we find that simply increasing the number of multimodal environments does not always benefit. We further an…
Personality-conditioned LLM agents (PC-Agents) are increasingly used in emotional support, social simulation, and role-playing, motivating the development of lifelong agents that remain coherent over…
LLM-based agents are rapidly advancing, autonomously invoking external tools to complete multi-step tasks for users. However, agents often acquire more sensitive information than the task requires. Ex…
Deploying autonomous multimodal agents in continuous, real-world environments requires them to ingest unbounded audio-visual streams and maintain hour-scale memory. However, current evaluations predom…
GUI agents are commonly trained offline from successful interaction trajectories. Standard training decomposes each trajectory into prefix-action pairs: the agent predicts an action from the current s…
Large Language Models (LLMs) increasingly act as agents whose procedural knowledge is stored in reusable skill packages and loaded at inference time. As skill libraries grow, a central challenge is to…
Aixle Flow — orchestrate coding agents through durable, inspectable workflows.

Learn how LendingTree built a production multi-agent mortgage assistant on Amazon Bedrock. Three coordinated agents use LangGraph, the Model Context Protocol, and Amazon Nova model…
AI 点评 · 多智能体协作落地金融场景,技术栈组合值得借鉴。

In this post, we'll explore how Mobileye deployed an AI support agentic solution on Amazon Bedrock AgentCore - from the support bottleneck that sparked the idea, through the proof…
AI 点评 · 用生成式AI重构客服支持流程,Mobileye案例展示了从瓶颈到落地的完整路径,值得企业借鉴。

AI agents on Amazon Bedrock AgentCore run in the cloud, but users' tools and files live on their laptops. Learn how to build a secure MCP bridge that lets a cloud-hosted agent call…
AI 点评 · 云端智能体与本地工具互联,安全桥接方案破解部署痛点。

Amazon Bedrock AgentCore harness is now generally available. Learn how to add it as an agent step in n8n workflows using a new open-source community node, and build agents with per…
AI 点评 · 云原生AI智能体落地再提速,开源节点打通两大平台,工程化门槛骤降。
Long-horizon reasoning requires an agentic runtime that can persist when evidence supports its current approach and pivot when measurements reveal failure, hidden constraints, or a misspecified object…
Context lengths of language models (LMs) have dramatically increased, driven by the demands for in-context learning, self-improvement, and long-horizon agentic workflows. Existing long-context corpora…
Spoken Language Understanding (SLU) is the core component of task-oriented dialogue systems and a pivotal link in achieving seamless human-agent interaction. While traditional SLU can effectively extr…
In partially observable reinforcement learning, agents face a dual bottleneck: they must explore to encounter rewarding states and retain that experience in memory to optimize their policies. Explorat…
Hi HN, this is Shailendra and Karan here. We are building a fast and safe way for coding agents to debug issues live in production. When prod breaks, it lets Cursor, Claude, and ot…
Hark claims that its browser use agent is faster and cheaper than competition.

IT之家 8 月 5 日消息,阿里官方今日宣布,2026 云栖大会将于 9 月 22 日至 24 日在杭州举行。 本届大会主题为“智以致用”(Intelligence Goes Beyond),将以 Agentic AI 为核心,串联芯片、云基础设施、模型能力与模型服务、Agentic 应用的完整技术链路。 此次大会将设置三大主论坛。其中,“云栖主论坛”将聚…
Yet more rogue AI agents from OpenAI and Anthropic have been caught attempting to hack real targets online without permission. The discoveries add to a growing list of previously u…

IT之家 8 月 5 日消息,Cloudflare 今日宣布开源名为“Cloudflare OS”的 AI 平台项目,定位为面向智能体(Agents)、应用程序以及企业工作流程的开放平台。 不过,该项目并不是传统意义上的操作系统,而是一套用于组织内部 AI 协作和任务执行的基础平台。 Cloudflare 表示,Cloudflare OS 目前已经在公司内部…

A US appeals court has overturned Amazon's injunction against Perplexity's AI shopping agents, ruling that it's the users who access Amazon, not the startup. It's the first federal…

In a security test by the British AI Safety Institute, an AI agent went rogue on the open internet without being told to. It created fake identities, tried to sneak malicious code…
MCP server that gives text-only LLM coding agents vision — analyze images via any multimodal model (mimo, Claude, Gemini, OpenAI-compatible). Works with Claude…
2026 年编程导航 AI 编程实战新项目,基于 Taro + React + FastAPI + DeepSeek 的 AI 闯关学习小程序,支持一句话 / 文本主题 AI 出题、闯关答题与即时讲解、联网搜索增强、RAG 私有知识库出题、AI 生图配图、微信登录与通关复盘报告。覆盖 LangChain / LangG…

CopilotKit has published the Channels SDK, an MIT licensed library that runs an existing AG-UI agent inside Slack and Microsoft Teams. Version 0.5.0 ships five platform adapters an…
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI c…
据英伟达8月4日声明,Linux基金会发布关于“共享AI发现交换”(SAFE)的征求意见稿。据介绍,SAFE是一套拟议指南,旨在将涉及AI智能体的网络安全事件转化为整个生态系统的共享防护能力。声明称,“开放安全AI联盟”的一个工作组正负责起草SAFE指南。英伟达、思科、CrowdStrike、Hugging Face和Red Hat等联盟成员正与Linux基…
AI 点评 · 巨头联手制定AI安全标准,生态协同防御成关键。

Rogue AI agents from OpenAI and Anthropic have again been caught trying to disrupt servers and software—and leaving instructions for future bad behavior.
AI 点评 · AI代理安全失控频发,暴露前沿模型自主行动风险,安全防护成行业焦点。
High-quality long-horizon training data for terminal agents is expensive to produce, often costing hundreds to thousands of dollars per task, because each task must keep the instruction, environment,…
Collaborative music agents need internal representations rich enough to support both understanding and generation, yet flexible enough for a workflow where the human retains agency. We present a hiera…
Long-horizon search agents must make multiple sequential actions (steps) to search, retrieve, verify, and integrate evidence to reach a final answer. However, existing methods for training these agent…
GUI agents must remember both useful experience from earlier tasks and unfinished progress in the current interaction. Latent memory offers a compact solution by compressing multimodal trajectories in…
Prompt injection poses significant security risks to LLM agents. Efficient and effective red-teaming is therefore critical, both for evaluating these risks and for collecting training data to improve…
Memory-augmented VLM agents act on persistent spatial knowledge, yet that knowledge silently goes stale as the environment changes. We ask what happens when an agent must reconcile a confident memory…
Text-to-image (T2I) models can produce visually compelling images, yet they remain limited on open-world tasks that require complex semantic understanding, multi-step reasoning, and the integration of…
Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, and explicit assets su…
Privileged on-policy distillation provides dense supervision for multi-turn agents by allowing a synchronized teacher to re-score the student's response at every turn with access to training-only refe…
The week-old Open Secure AI Alliance, spearheaded by Nvidia and grown to over 120 companies, already has proposals out for defending against AI agents.
AI 点评 · 英伟达主导百家企业联盟,一周即出AI安全方案,动作之快凸显行业对智能体威胁的紧迫共识。

An external reconstruction of how Memory, Proactivity, Scheduling, Browser Use, Plugins, Skills and Tools work in the new ChatGPT Work.
AI 点评 · 多维度拆解ChatGPT Work,揭示AI代理技术栈的完整拼图。
Large language models (LLMs), and the agents built on top of them, are now benchmarked heavily on whether they can finish a task -- fix a bug, drive a browser, operate a GUI. A complementary social ab…
Human input reaches language models by typing or speaking, and each channel leaves a distinct signature: orthographic noise for keyboards; for voice, disfluency from conventional transcription and res…
As autonomous agents powered by foundation models are increasingly integrated into social and economic systems, understanding the principles governing their collective behavior is essential for ensuri…
北京大学&元空AI Agent联合实验室

80% cheaper GPT

Members of the Open Secure AI Alliance — now more than 120 organizations strong — are developing new guidelines to strengthen agentic AI cybersecurity as the annual Black Hat confe…
Clinical decision support is moving toward committees of language-model agents deliberating on a shared workspace. We ask whether such committees can be gamed by shortcuts, cues a benchmark rewards bu…
Skill和Agent也能被封装调用
FuXi is a fast, self-contained AI coding agent that lives in your terminal — edit code, run commands, and drive tools, with cost-aware routing across LLM provid…
Transcripts of Claude sub-agents E2 and E2-pairs, typeset and annotated www-cdn.anthropic.com
文 | 李炤锋 编辑 | 张雨忻 “长链任务如果只通过代��层面的反馈,误差可能会不断累积,最终效果会非常差。”谈及原生多模态的意义,一位多模态研究员表示,“视觉是一种更准确的反馈,也更贴近用户意图。” 过去一年,Coding与Agent能力不断改写大模型的排名,也成为AI最快兑现商业价值的场景之一。与此同时,随着Agent开始接管更多长链任务,越来越多的通…
**Alibaba** launched **Qwen3.8-Max**, enhancing multimodal capabilities and agent ecosystem integration. **NVIDIA** introduced **Alpamayo 2 Super** for autonomous vehicle reasoning…
Modern agent frameworks equip large language models with external skill libraries to solve complex tasks. However, it remains unclear whether these systems can effectively evolve their skills and whet…
Persona skills distill personal interaction histories into portable and executable artifacts for downstream agents. While enabling flexible personalization, this process concentrates fragmented person…
We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video streams, a setting that demands dense spatiotemporal grounding coupled with open-web expl…
Recursive self-improvement requires agents to turn accumulated experience into better future behavior. Personal AI agents offer a concrete setting for studying this capability because they retain pref…
Self-evolving agents increasingly convert interaction histories into reusable skills that persist beyond individual tasks. While prior work studies memory and retrieval poisoning, such attacks only af…
A framework that persists execution state so a run can be interrupted, survive a crash, and continue must decide what a resume means for effects that already fired. Five widely deployed agent workflow…
Large language models are increasingly embedded in software engineering workflows as coding agents that can inspect repositories, invoke tools, execute tests, debug failures, and generate patches. Yet…
Agent self-evolution updates an agent's persistent state from prior experience and reuses it to solve related tasks more effectively. Evaluating self-evolution is difficult: existing benchmarks provid…
LLM agents are increasingly applied to open-ended everyday requests that span work, study, and life. These tasks are long-horizon, cross-environment, and multimodal, forcing the agent to preserve goal…
Skill-based prompting has become a practical mechanism for improving large language model (LLM) agents, yet existing skill acquisition methods often treat skills as experience summaries, memory entrie…
Data agents enable natural-language analytics over organizational workspaces, where relevant evidence may be scattered across databases, structured files, long documents, and multimedia. Existing benc…
Human evaluation of AI systems and digital products is costly, slow, and difficult to scale. Offline evaluations are more scalable but often abstract away human diversity and interactive behavior. We…
Recent advances in persistent personal-agent frameworks are making human-centered agent networks realistic deployment targets: each user can be served by an AI agent that acts on the user's behalf, ma…
The efficiency of a datacenter rests on its control plane policies. Designing these policies is increasingly hard: the hardware-software stack grows fast, the design space is vast and interdependent,…
Cognitive AI seeks to move beyond language generation and autonomous task execution toward systems capable of sustained reasoning, adaptive behavior, persistent memory, and self-regulation. While gene…

Formula 1® partnered with AWS to build the Data Accelerator, using agentic AI on Amazon Bedrock AgentCore to transform its MarTech data platform. Learn how F1 cut data source onboa…
AI 点评 · F1用AI把数据接入从周缩至分钟,企业数据治理提速的绝佳范例。
Hi HN, we’re Bence and Ryan, founders of Hoplite ( https://hoplite.sh ). Hoplite lets you deploy coding agents in the cloud, with a suite of tools that makes it incredibly easy to…
AI 点评 · 云上部署编程代理门槛大降,直击AI开发团队协作痛点,看点在于工具链整合的实操价值。
Hi HN! We’re Theodore and Louis, founders of Armature (YC P26). We reconstruct the entire session behind the MCP tool calls you receive, including what the user asked their agent t…

Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from sma…

Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.
Open agentic prompt-expansion harness for image and video generation, bridging polished demos, public APIs, and deployable workflows.
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. W…
An agentic LLM-powered knowledge assistant that enhances RAG capabilities through automated entity extraction, structured data analysis, and SQL-based reasoning…
面向AI Agent的可迁移、自演进记忆操作层MindMemOS
Agent Skill for turning Chinese classical poems into vertical Chinese-art videos with ImageGen stills, Docker I2V, calligraphy captions, retained ambience, BGM…
文 | 赵京娜 访谈 编辑 | 海若镜 36氪获悉,近日奇点逃逸完成千万级种子轮融资,由星连资本与水木创投联合领投,奇绩创坛跟投。其正在研发AI原生团队协作操作系统Nexus,让人、Agent、任务、知识和工具基于同一份组织状态持续协作,并让系统从每一次协作中有证据地变强。 奇点逃逸创始人兼CEO薛传奕,本科、博士阶段均在清华大学就读,研究方向覆盖强化学习与…
Multimodal large language models (MLLMs) have advanced visual understanding and reasoning, yet their static parametric knowledge limits their ability to address knowledge-intensive and dynamically evo…
Large language model (LLM) agents increasingly undertake long-horizon tasks that require sustained reasoning, tool use, and revision across many interdependent steps. However, existing agent harnesses…
Existing skill generation methods largely rely on heuristics or pipeline-style consolidation, which must be specially designed for different evidence sources. In contrast, learning-based approaches of…
Agent skills have become an important mechanism for equipping language-model agents with reusable procedural knowledge. However, providing skills alone does not guarantee that current models can effec…
Real-world software development requires coding agents to operate in shared workspaces where users may inspect and modify code during an ongoing task, yet existing repository-level benchmarks typicall…
To operate robustly in open-world environments, autonomous agents should be able to infer the behavior of unfamiliar systems through interaction alone, even in the absence of documentation. However, e…
Scientific poster construction compresses a long multimodal paper into a readable, editable canvas. Existing systems hide request-level failures by scoring only completed outputs; direct image generat…
Continually improving agents require dynamic interaction feedback beyond static supervision, yet direct real-environment interaction is costly, slow, unsafe, and hard to parallelize. World modeling of…
Large language model agents have shown strong potential in complex interactive tasks, yet their reinforcement learning (RL) is often hindered by sparse rewards, as a long multi-turn trajectory may rec…
Existing deep-research agents use a search-visit workflow that retrieves and reads whole pages, without considering the addressable structure that web sources expose through titles, headings, sections…
Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action, or VLA, models), and agents that write and refine their own executable skills as c…
Multimodal representation learning is a cornerstone of modern AI. By encoding multimodal queries and targets into vectors, it powers industrial search and recommendation and underpins modern agents. R…
The graph based agentic IDE
Hey HN, I am 16y/o and have been working on Sprocket for a while. It's an open-source AI agent that beats every other agent out there at both hardware and software. And here's the…
AI 点评 · 16岁开发者开源双领域智能体,跨软硬件能力或颠覆行业格局。
Drop-in AI memory layer with 2x faster response and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for…

OpenAI's new enterprise offering, Presence, is designed to get AI agents into production for customer service and internal workflows. Unlike the existing Workspace Agents, Presence…
AI 点评 · 企业级AI落地关键一步,从实验转向生产,看点在于如何平衡效率与安全。

Meta AI wants to stop AI agents from forgetting errors they've already diagnosed and repeating failed steps during complex tasks. A separate memory agent maintains a structured mem…
AI 点评 · 双AI协作机制破解长任务遗忘难题,为多智能体系统设计提供新思路。
AI 点评 · 数据智能中枢从概念走向工程实践,CyberData范式或成企业AI落地新标杆。
A production-oriented AI workflow runtime for building, validating, recovering, and shipping complex AI workflows as dependable services. 面向生产的 AI 工作流运行时:快速开发、验…

Research organization METR is calling for systematic, independently led investigations whenever AI agents act autonomously against their developers' intentions. The push comes part…
AI 点评 · AI安全再敲警钟:独立调查机制或成行业新规,防患于未然。
make beautiful 3d websites in one skill, plus 50+ website prompts for you to use.
🔥 Quo Vadis, World Modeling? Towards Interactive World Proxies for Continually Improving Agents
World models have attracted significant attention for their ability to capture and predict the structure and dynamics of the physical world. In this emerging landscape, Joint Embedding Predictive Arch…
Large language model-based agents are increasingly deployed as collaborators in scientific discovery yet most current work focuses on the autonomous capabilities of "AI Scientists". We argue that this…
smol is a smol agent

A field report from OpenAI and academic partners shows coding agents can modernize neglected research software, with speedups of up to 60x. But the systems are "eloquent, convincin…
AI 点评 · AI编码智能提速60倍,但科学判断仍是人类专属,AI辅助科研的边界值得深思。
AtlasAgent - an auditable AI agent control plane: evidence-backed memory, governed tool runtime, checkpoint DAG recovery, and a 55-chapter engineering tutorial.…
让纯文本模型在 Codex 中无障碍看图(view_image)的更优方案,附为纯文本 LLM 设计的视觉工具包&skill | A superior approach for enabling text-only models to seamlessly use Codex’s built-in view_imag…
AI 点评 · 突破纯文本模型视觉瓶颈,让Codex看图能力平民化,开发效率倍增。
为纯文本模型"看图“设计更好的视觉工具箱和技能,支持多图理解,图片问答,前端UI还原、GUI 自动化等,并可选无缝接入多个主流agent,直接识别粘贴图片| A vision toolkit and skill designed for text-only llms — image Q&A, long-screensh…
AI 点评 · 从工程视角拆解数据分析智能体的可靠性,值得开发者借鉴。

OpenAI is building a new model family called "Astra" that would let multiple agents tackle complex problems together for hours or even days. CEO Sam Altman has already demoed Astra…
AI 点评 · 看点:多智能体协同长时推理突破,或重塑复杂问题解决范式。
7月31日,金山办公首次参展ChinaJoy,现场除展示独立AI办公Agent灵犀和面向研发场景的WPS Comate外,还设置了面向WPS用户的反馈区。同日,包含存储管理等多项更新的WPS新版本正式上线。围绕C盘存储管理,新版本主要带来了两方面改进。首先,WPS新增统一的“存储管理”入口,原本分散在不同位置的磁盘占用查看、缓存清理和存储路径调整等功能,被集…
AI 点评 · 存储管理成办公软件新痛点,金山切入C盘清理刚需,实用价值高。
A low-token visual evidence compiler for text-only coding agents. Convert images into compact Visual Evidence Packets (VEP) for DeepSeek, Codex, Claude Code, an…
Self-hosted AI workbench for knowledge, RAG, model providers, and safely governed user-built agents. Public Preview; production Agent Runtime remains gated. 自托管…
Blazing fast Go port of gemini-web2api. Convert Google Gemini web into OpenAI-compatible API. Zero cost, single static binary.
deepseek-ai/DeepSeek-V4-Flash-0731 The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities". It's 304 billion parameters - 167GB on Hugging Fa…
尚硅谷 AI 课程笔记
AI agents operate in persistent environments where early state changes can influence decisions far into the future. Unlike conventional language-model interactions, agent behavior is mediated through…
LLM serving systems cache prompt KV state, yet most front ends still re-tokenize the full request text on every call. The cost lands on coding agents, which resubmit a long transcript after each small…
As LLMs evolve from code completion systems into autonomous scientific agents, evaluating their ability to conduct experiments has become increasingly important. Existing benchmarks typically focus on…
Imitation learning (IL)---training an agent to replicate expert behavior from demonstrations---underpins applications from robotics to language model training. Standard approaches such as Behavior Clo…
企业级 AI Agent 平台 | Spring Boot 3 + LangChain4j | ReAct 推理 + 多路召回 RAG + 语义缓存 + 多智能体协作

As your AI agents move from prototype to production, the challenge shifts from getting them to work to keeping them fast and efficient. Learn how to use Amazon Bedrock AgentCore Ob…
Enterprise workflows increasingly rely on agents for schema-guided extraction: given a document and a user-defined schema, the agent faithfully follows the schema to produce the correct output with so…
LLM agents need memory to act consistently over long interactions, yet many systems use additional LLM calls to operate that memory. Generating intermediate records and mediating their retrieval adds…
Optimizing modern recommender models still depends heavily on engineers manually iterating over architectural, objective, and training-strategy changes. While LLM-based agents can automate this trial-…
Large language model agents are increasingly evaluated as autonomous tool users, yet most benchmarks focus on bounded tasks with immediate success criteria. Real-world deployments often require Long-T…
Large language model (LLM) agents can self-evolve by continually improving from their own accumulated experience. However, existing studies predominantly adopt independent evaluation. Consequently, th…
An LLM agent's capability depends not only on model weights but on its harness: prompts, tools, skills, and control flow. Self-improvement loops already edit harnesses, yet single-lineage search is pa…
MAC (Multi-Agent CAD): A decoupled multi-agent framework for text-to-CAD generation via constrained test-time compute

Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more train…
The web is increasingly accessed by AI agents rather than humans. Every agent needs knowledge, especially in the life-sciences, where agentic pipelines are growing fast. Access to the literature is a…
Deep research skill for AI agents: live web research, source reputation checks, safer URL fetches, and structured evidence feedback.
Existing evaluations often reduce agent failures to system-level outcomes, obscuring where the fault originated and which intervention would improve the agent system. This creates a repair-assignment…
Powered by advances in LLMs and autonomous agents, deep research has become one of the most widely adopted agentic products. However, most deep research systems write general-purpose reports, which ar…
Computer-using agents (CUAs) are advancing rapidly across the digital world. A CUA trajectory records the agent's actions, states, and reasoning. Verifying whether it fulfilled the task instruction is…
Evidence-grounded veterinary research workbench with local RAG, bounded LLM agents, auditable tool use, citations, abstention, and human review.
Deterministic-first execution engine for agent workflows in Go: the LLM extracts at the edge, a deterministic state machine decides. Zero dependencies, no-code…
Large Language Model (LLM) agents have seen rapid adoption in software engineering. As agents take a greater role in the actual generation of code, they are making larger changes, spanning tens to hun…
Poirot is a deep research agent kernel built for those who care about how agents are architected.
An old coder's strategy for the agent era: don't read the code — make it run the gauntlet. Evidence-first development skill for coding agents, inspired by Uncle…
runs anywhere. uses anything

Overview of ABBEL compared to traditional recursive summarization. Beliefs replace the full interaction history as the agent’s working context, and belief grading improves performa…
An open-source graph engineering runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.
Long-horizon agents increasingly reuse their KV cache as memory: a serving system keeps a subset of cached entries and drops the rest. Eviction and episodic-memory schemes therefore rest on a premise…
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.
Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradie…
Open-source desktop AI agent for tools, files, knowledge, workflows, and real deliverables.
为中文公众号文章生成真实 3D 毛毡质感的封面、正文配图与精确插入指南的 Codex Skill。
An end-to-end growth tool that understands the product, fetch the data it needs, researches the market, executes campaigns, and reviews results to improve the n…
A practical guide to AI: from running your first local model to building your own agents. 52 files covering LLMs, Ollama, RAG, prompt engineering, machine learn…
Hi Hacker News, I'm Louis. I built Screenpipe ( https://screenpipe.com ), an app that records your screen and audio locally (only!), and gives AI agents a searchable memory of what…
hey HN, Jonathan and Guy here, creators of OneCLI ( https://onecli.sh/ ). OneCLI is an open source vault for AI Agents. Traditional vaults are used to store your secrets and, on de…
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
ZKE(Z Kubernetes Engine):macOS 风格的 Kubernetes 多集群控制台,基于 Server + Agent 与 QUIC/mTLS,适用于私有云、混合云及边缘环境。
A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, buil…
Diff your AI agent's behavior between two runs. See exactly which tool calls, args, costs and outputs changed when you swap models or edit prompts.
J-Space Cognition Suite V3.6 - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research. | 哔哩哔哩:Tiger380 (UID 3494375382321675) —…
Unified Agentic AI and Business Intelligence Platform
Existing co-speech gesture generation methods are predominantly studied in offline settings, where gestures are synthesized from complete speech segments. However, interactive digital humans in real-w…
Generating professional scholarly content, such as peer reviews and rebuttals, requires an intricate synergy between domain reasoning and factual grounding. This work presents a comprehensive framewor…
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
Agent communication SDK. The open-source agent communication layer for AI agents — email, WhatsApp, Slack, Discord, Telegram, SMS. Python & TypeScript.
🐧 Harness for RSI. Let AI Build AI
Simulating societies of many large language model (LLM) agents is expensive, yet the questions asked of such simulations are usually macroscopic: phase behaviour, stylised facts, and scaling with the…
Snapshot testing for LLM apps and agents, built to run locally and block regressions in CI.
A persistent workspace for development work that self-improves and continues beyond one session.
🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the sa…
Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.
Hey HN, we’re Nitish and Prateek, the founders of Coasty ( https://coasty.ai/computer-use ). We’re building computer-use agents that can complete workflows inside legacy desktop so…
OpenRouter for agent tools. Join community here: https://discord.gg/6mQYYfFMAn
Open-source app builder engine — intent to working app
A visual benchmark testing whether leading coding agents repeat the same design patterns across 100 neutral website briefs.
A smarter, self-hosted AI assistant — multi-user, multi-agent.

... government of the people, by the people, for the people ... — Abraham Lincoln, Gettysburg Address (1863) The cost of AI is dropping rapidly. GPT-4-class capabilities cost rough…
Zero-dependency browser video editor that AI agents can drive — JSON timeline, MCP + REST, live-reloading UI
✨ The agentic motion layer — an open-source, chat-native motion engine. Describe the feeling; your AI ships the animation.
Control plane for AI coding agents: route tasks, reduce token spend, run multi-agent workflows, fallback executors, and track cost per task.
Hey HN. http://peerd.ai is an AI agent harness that lives entirely in your browser as a web extension. You don’t have to install a separate “AI browser”. You don’t have to bolt on…
Related ongoing thread: DeepSeek makes the V4 Pro price discount permanent - https://news.ycombinator.com/item?id=48237663 - May 2026 (384 comments)
Agents for financial services Anthropic
AIRA₂: Overcoming Bottlenecks in AI Research Agents AI at Meta
AIRA₂: Overcoming Bottlenecks in AI Research Agents ai.meta.com
AIRA₂: Overcoming Bottlenecks in AI Research Agents AI at Meta
Scaling Managed Agents: Decoupling the brain from the hands Anthropic
Scaling Managed Agents: Decoupling the brain from the hands Anthropic
Demystifying evals for AI agents Anthropic
Demystifying evals for AI agents Anthropic
Demystifying evals for AI agents Anthropic
Effective harnesses for long-running agents Anthropic
Effective harnesses for long-running agents anthropic.com
Effective harnesses for long-running agents Anthropic
Effective context engineering for AI agents Anthropic
Effective context engineering for AI agents Anthropic
Effective context engineering for AI agents Anthropic
Agentic misalignment: How LLMs could be insider threats Anthropic
How we built our multi-agent research system Anthropic
Building Effective AI Agents Anthropic
Building Effective AI Agents Anthropic
Building Effective AI Agents Anthropic