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Node0 – A P2P protocol and SDK for autonomous AI agents
自主AI智能体专用的P2P协议与SDK，赋能去中心化协作。
Article URL: https://github.com/node0network/node0 Comments URL: https://news.ycombinator.com/item?id=48892782 Points: 1 # Comments: 0
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The Fable Autopsy: When a Dying AI Dissects Itself for Another Dying AI
当AI agent在会话结束时死亡前，主动剖析并传授生存之道，一场关于记忆与遗忘的寓言式实验。
On July 5, 2026, I used one instance of Claude Code to perform a comprehensive methodology audit on another AI agent I'd been building. Both instances…
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The Loadout Pattern: Handing the Wheel to an Autonomous LLM
让LLM自主选择工具与执行策略的“Loadout模式”，告别硬编码，赋予模型真正驾驶权。
The Loadout Pattern: Handing the Wheel to an Autonomous LLM The core idea Conventional automation executes a procedure — code runs a fixed sequence of…
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LinkAnchor: An Autonomous LLM-Based Agent for Issue-to-Commit Link Recovery
用LLM自主代理自动恢复Issue与Commit的链接，解决代码溯源难题，提升开发协作效率。
arXiv:2508.12232v5 Announce Type: replace-cross Abstract: Issue-to-commit link recovery in software repositories is fundamental to software traceabili…
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Build a Basic AI Agent from Scratch: Long Task Planning
手把手教你从零创建具备长任务规划能力的AI Agent，简单实用。
Article URL: https://www.ruxu.dev/articles/ai/build-an-ai-agent-planning/ Comments URL: https://news.ycombinator.com/item?id=48444433 Points: 1 # Comm…
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Be the Gatekeeper. Your AI Agent Will Hate It
AI Agent自主开发时缺乏测试与可访问性，你需扮演「守门人」角色约束它
The most useful thing an AI coding agent can do is let you check its work. It will not enjoy it. I once watched my own agent do beautiful work on the …
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The Saturation Trap and the Subjectivity of Intervention Timing: Why Affect-Based Triggers and LLM Judges Fail to Time Interventions on Autonomous Agents
自主AI代理执行长任务时，何时干预？本研究用18维情感动力学引擎揭示时机陷阱，LLM裁判也靠不住。
arXiv:2606.04296v1 Announce Type: new Abstract: As autonomous AI agents move from conversational systems to long-horizon software execution, runtime s…
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EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning
共进化策略与训练框架，突破传统静态训练瓶颈，实现LLM自主代理强化学习新范式。
arXiv:2606.03108v1 Announce Type: new Abstract: Autonomous LLM training is often framed as recipe search, which leaves the training harness largely st…
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Exploring Autonomous Agentic Data Engineering for Model Specialization
前沿论文：自主代理驱动数据工程，专精模型定制化训练新范式
arXiv:2605.30407v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated strong performance on general tasks, while often stru…
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LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world Tasks
从根源解决LLM代理的奖励黑客隐患，提出约束优化新方法，让自主智能更安全可靠
arXiv:2605.27375v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly acting as autonomous agents, but their continuous intera…
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Why AI Agents Cannot Change Software Systems
深入剖析AI代理为何无法自主修改软件系统，揭示LLM生成代码的固有局限与系统维护的现实挑战。
Article URL: https://phroneses.com/articles/build/notes/agents-cannot-maintain-systems.html Comments URL: https://news.ycombinator.com/item?id=4829431…
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Beyond Monolithic AI: How to Build a Pluggable "Brain" Architecture for Autonomous Agents
如何为自主代理设计模块化AI大脑，灵活切换云端与本地模型，实现性能与灵魂兼得？
Imagine you’re building a personal research assistant. Its job is to ingest hundreds of academic PDFs, learn your unique writing style, and eventually…
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Who Wants to Be Hired? (May 2026) – AI Engineer (Python, RAG, Agentic Workflows)
AI产品工程师求职：精通自主代理工作流、RAG管道与低延迟推理，曾构建多模态智能体Jarvis。
About me: I am an AI Product Engineer specializing in building autonomous agentic workflows. Recently, I built 'Jarvis', a multimodal autonomous agent…
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With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots
Google Gemini 3.5 Flash 驱动自主 AI 代理，低延迟高质量，专为编码和复杂任务执行而生
Google launched Gemini 3.5 Flash, its most powerful coding and agentic AI model yet, at the company's annual developer conference. It is capable of au…
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Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use
论文揭示LLM工具使用中的「知行差距」：模型知道该用工具但实际不用的微妙现象。
arXiv:2605.14038v1 Announce Type: new Abstract: Large language models (LLMs) increasingly act as autonomous agents that must decide when to answer dir…