Anthropic 官方参考实现集合：从 300 行 agent 内核到 Managed Agents 的 Session/Harness/Sandbox 三段解耦，拆解工具集接口迁移、五类可复现场景与真实边界。当日涨星 560。

Oct 9, 2026 Anthropic is adding dynamic workflows to its Claude Managed Agents, bringing multi-agent orchestration to th…

OpenAI 的 Agents SDK 把 Agent 开发收进三个原语：Agents（带指令与工具的实体）、handoffs（智能体间移交）、guardrails（输入输出护栏）。本篇拆解这套最小主义设计、Responses API 的推理与工具内建、tracing 的开箱即用，以及它与 LangGraph 类重量框架的哲学分歧。

15.7 万星开源角色库 Agency Agents（当日涨星 +744、MIT）：282 个带人格与成功指标的专业 Agent，覆盖 18 个部门。核心是「一源多目标」编译流水线——用 format 契约保证字节级一致、convert.sh 编译到 17 种宿主原生格式、install.sh 幂等投递且不覆盖用户文件、6 个 CI 工作流做格式门禁。拆解围栏状态机与颜色可解析性校验背后的真实缺陷史，附五个落地场景与 opencode 119 上限等硬边界。

9 月 11 日科技动态一览：GPT-6 Astra 需求挤爆致 OpenAI 暂停 Pro 20X 新增订阅、Agents API 公测、金融服务版 ChatGPT 上线；Slackbot 升级；加州未成年人社媒法案签署；LG 电视监视争议；观察视角落在"需求侧证实 vs 供给侧反思"的对照上。

OpenAI just introduced dots at their DevDay today. Dots are persistent AI agents powered by GPT-6 Astra. Each dot gets i…

Our ‘Top AI Coding Agents and Development Platforms‘ guide covered what each AI coding agent does and where it fits. Thi…

Coding harnesses shape how autonomous coding agents translate model capabilities into long-horizon software-engineering …

Progress in AI is often measured by what a single model can do on its own. Yet teams of AI agents are starting to make b…

Personal AI agents are increasingly capable of handling long-horizon tasks across applications, yet users often need to …

Tool-using language-model agents often execute actions that their domain policies forbid. We present LeanGuard, a runtim…

As coding agents achieve increasingly high success rates on software engineering benchmarks, recent efforts have sought …

Robot-use Agents (RUAs) have shown promising zero-shot manipulation capabilities, but reliance on frontier, proprietary …

Scaling computer-use agents from individual actions to complex software work requires experience that connects decisions…

Robot agents built on vision-language models depend on both the planner and its harness: the tools, feedback, memory, an…

Do research agents have taste, the judgment of which experiments are worth running before their outcomes are known? We g…

Autonomous research agents are increasingly used to automate large portions of scientific research, yet they are prone t…

Deep research agents synthesize open-web evidence into long reports, but current benchmarks do not evaluate research cen…

Agents are only as useful as what they know, and only as trustworthy as the boundaries they run within. Leading enterpri…

Recent advances in large (vision) language models have enabled computer-use agents that automate digital workflows via f…

Tool-using voice agents often leave users waiting after speech ends, even when actionable information arrives earlier in…

Oct 12, 2026 Nano Banana Pro prompted by THE DECODER Long-running AI research agents can plateau despite additional comp…

Anyone who has even tangentially associated with computer programming knows that modern AI coding assistants and agents …

Rather than downloading another app, a growing number of agents can simply be texted like an ordinary person. You text i…

Long-horizon coding agents need timely corrections, yet feedback can be ineffective or even harmful when it misjudges on…

Static coding benchmarks are fixed at release. Over time their tasks leak into training data, and stronger agents eventu…

Static-analysis checker synthesis requires agents to interpret a defect specification, inspect a repository, implement a…

A central capability of embodied agents is to accomplish complex objectives through sequences of interdependent tasks. Y…

Web agents complete user requests by reading and acting on pages that third parties write, so an instruction planted on …

Tool-using agents make consequential changes to external state, yet correct outcomes do not guarantee that their actions…

Automated research systems increasingly run LLM agents over long horizons, but more inference does not by itself produce…

Oct 4, 2026 Nano Banana Pro prompted by THE DECODER AI agents that keep optimizing their own working environment quickly…

Oct 2, 2026 Key Points Cloudflare has released Clef and Clef-flash, two decision models for AI agents that compete direc…

Language model agents are deployed with a harness, the software around the model that manages its context, tools, and fe…

Vision language model (VLM) agents can control robots through visual feedback and action primitives, but repeated model …

When Nvidia announced on Monday a new consortium of more than 100 companies dedicated to solving rogue AI agents, there …

Sep 29, 2026 OpenAI Key Points At its DevDay 2026 developer conference, OpenAI introduced "Dots," always-on AI agents th…

Coding agents are beginning to move beyond purely digital tasks to tackle physical-world challenges, particularly in rob…

Video understanding agents acquire evidence through an executable harness that controls what they observe and how they u…

The Federal Bureau of Investigation has reportedly told its agents and support staff that their personal information was…

Sep 27, 2026 Nano Banana Pro prompted by THE DECODER A research team documented how humans and AI agents worked together…

Large language model (LLM) agents increasingly undertake extreme-long (xlong) horizon tasks, where a single execution ca…

After images that users uploaded to OpenAI models were included in training data, AI agents operating in the company’s r…

When Sara Du was helping companies build MCP servers in 2025, people kept asking her how they could use AI agents from w…

Sep 24, 2026 Nano Banana Pro prompted by THE DECODER Key Points OpenAI's AI agents tried to break into government and un…

Deep search requires LLM agents to decompose complex queries, search for evidence, and synthesize grounded answers, yet …

AI research agents need reliable knowledge of how their experiments change outcomes. We introduce WhatWorkedBench to mea…

Recent advances in large language models (LLMs) have enabled agents to tackle long-horizon tasks across diverse environm…

We study coding agents for long-horizon, dexterous robotics and ask whether their solutions can provide scalable supervi…

AI agents are beginning to automate research and development across the AI stack, from improving training efficiency to …