1328 个
开源 AI Workforce OS：将 AI Agent 转化为执行业务职能、以结果衡量的自主劳动力。Claude Tag 的开源替代方案。The Open-Source AI Workforce OS. Turn AI agents into autonomous labor that performs business functions and is measured by outcomes. Claude Tag open source alternative
智能多 agent 对话助手，采用 LangGraph 编排，支持 Human-in-the-Loop、企业级可观测性与完整 i18n 支持（6 种语言）。Smart multi-agent conversational assistant with LangGraph orchestration, Human-in-the-Loop, enterprise-grade observability, and full i18n support (6 languages)
用于哲学领域的高准确度、覆盖全面的文献综述多 Agent 工作流Multi-agent workflow for accurate and comprehensive literature reviews in philosophy
开源 FDE Agent 与企业 AI 约束层：24 条规则的 git-diff 审计、自动快照回滚、规则注入、自我进化。以 9 个 DeepSeek Harness 插件 + MCP server（66 个工具）形式交付。MIT 许可。Open-source FDE Agent & constraint layer for enterprise AI: 24-rule git-diff audit, auto snapshot rollback, rule injection, self-evolution. Ships as 9 DeepSeek Harness plugins + MCP server (66 tools). MIT.
面向创意工具的 Skill 优先控制平面：共享 MCP/REST runtime、gateway、CLI、marketplace、安全与可观测性，覆盖工作室流水线。Skill-first control plane for creative tools: shared MCP/REST runtime, gateway, CLI, marketplace, safety, and observability across studio pipelines.
面向 coding agent 的本地护栏机制：策略、审批、86 个安全策略包、操作系统级沙箱、审计追踪，无需 Docker。Local guardrails for coding agents. Policy, approvals, 86 safety packs, OS sandbox, audit trail — no Docker.
面向 AI Agent 的 Metasploit：扫描、攻击并修复 AI Agent 与 MCP 服务器。开源安全工具包Metasploit for AI agents: scan, attack, and fix AI agents and MCP servers. Open source security toolkit.
📚 AI 驱动的论文阅读工作台。基于项目的论文问答，集成 Hybrid RAG、多 Agent 工作流（ReAct/Plan-Act/RePlan）、长期记忆与可溯源证据。使用 LangChain + LangGraph + Streamlit 构建。📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.
Anthropic Claude Certified Architect（CCAR-F）认证的非官方备考指南。涵盖 Agentic 循环、多 Agent 系统、子 Agent、MCP 服务器、hooks、工具路由、CLAUDE.md 层级、slash 命令、plan 模式与 Claude Code CI/CD 流水线。Unofficial study guide for Anthropic's Claude Certified Architect (CCAR-F) certification. Covers agentic loops, multi-agent systems, subagents, MCP servers, hooks, tool routing, CLAUDE.md hierarchy, slash commands, plan mode, and Claude Code CI/CD pipelines.
在终端里像审查 PR 一样审查你的工作变更。块级实时 diff、GitHub/GitLab PR 审查，并支持发送给 AI Agent。Review your working changes like a pull request — in the terminal. Block-scoped live diffs, GitHub/GitLab PR review, and send-to-AI-agent.
面向 agent 的纯数学工具：搜索实例与反例，进行精确计算，并独立验证结论所证内容。Pure mathematics for agents: search for examples and counterexamples, compute exactly, and independently check what a result proves.
独立的 Skill 与 Codex 插件，支持 OpenAI 兼容的图像生成、编辑、批处理工作流、QA 以及聚焦画布编辑。Standalone Skill and Codex Plugin for OpenAI-compatible image generation, editing, batch workflows, QA, and focused canvas editing.
面向终端的通用 AI 助手，让 Agent 之间共享可检索、可追溯且允许分歧的知识。让下一次判断，带着来源出发。
对人类而言，语言是表达的工具；对 AI 而言，语言是推理的基底。For humans, a language is a tool for expression. For AIs, it's a substrate for reasoning.
基于 NTFS MFT 的 Windows 超高速文件搜索工具Ultra-fast file search for Windows using NTFS MFT
面向 harness 工程、loop 工程、graph 工程，以及本地 AI Agent 工作流未来形态的桌面应用。Desktop app for harness engineering, loop engineering, graph engineering—and whatever comes next in local AI-agent workflows.
热门 claude-skills 与 AI Agent 仓库的自动更新排行榜，每 15 分钟刷新一次。Auto-updated leaderboard of trending claude-skills and AI agent repos, refreshed every 15 minutes
ThreeJSON 是面向 Three.js 的 JSON 驱动声明式场景运行时，专为持久化、可变更且可扩展的 3D 世界设计 —— 支持人工编写场景及 AI 与 Agent 驱动的生成与控制。ThreeJSON is a JSON-driven declarative scene runtime for Three.js, designed for persistent, mutable and extensible 3D worlds — from human-authored scenes to AI and Agent-driven generation and control.
面向编码 Agent 的持久化、可验证记忆 — 让它们不再重复解释你的代码库，也不再基于过时知识行动。每条记忆都与实际代码校验，以纯文本文件存放在仓库中，通过 git 共享。无需账号，无需数据库。安装：npx -y @kage-core/kage-graph-mcp installPersistent, verified memory for coding agents — so they stop re-explaining your codebase and never act on stale knowledge. Every memory is checked against your actual code; lives in your repo as plain files, shared via git. No account, no DB. Install: npx -y @kage-core/kage-graph-mcp install
开源、可自托管的 Claude Code 风格 agent 交付平台：现已支持 Slack，更多 channel 即将上线；同一 bundle 可在本地和 Kubernetes 上运行，git push 即可发布。Open-source, self-hostable delivery platform for Claude Code style agents. Connect Slack today, with more channels next. Run the same bundle locally and on Kubernetes, and ship it with git push.
AI 原生的结构化数据 wire 格式。在每个前沿模型上实现 100% 理解，比 JSON 减少 50-92% token，跨 17 种格式完成 43B+ 无损往返。Spec v3.4 Stable。The AI-native wire format for structured data. 100% comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ lossless round-trips across 17 formats. Spec v3.4 Stable.
自托管的开发机 OS——通过 Tailscale 在单一面板上提供应用管理、AI agent 编排、数字孪生、第二大脑与创意流水线。Self-hosted dev machine OS — app management, AI agent orchestration, digital twin, second brain, and creative pipeline from a single dashboard over Tailscale
grantex 是面向 AI Agent 的身份、授权与审计基础设施，堪称 Agentic 互联网的"OAuth 时刻"。提供通用 SDK 与云服务，让任意 AI Agent 可代表人类在限定、可撤销权限下执行操作，并具备加密身份与不可篡改的审计追踪。开发者可在数分钟内完成集成。grantex is the identity, authorization, and audit infrastructure for AI agents — the "OAuth moment" for the agentic internet. We provide a universal SDK and cloud service that lets any AI agent act on behalf of a human with scoped, revocable permissions, cryptographic identity, and an immutable audit trail. Developers integrate in minutes.
Literature-fetching & citation-auditing skill for LLM agents (Claude/Codex) — 讓 AI 引用經得起追問:找文獻、查核引用真偽與支持度、文獻支撐寫作,防幻覺引用。
fak — 面向 Claude Code、Codex、Cursor 和 MCP 的 Fused Agent Kernel：通过缓存稳定的模型流量、上下文压缩 + 崩溃恢复、本地重复服务、纳秒级工具策略以及本地 GGUF 推理，减少 token 消耗与重复工作。fak — the Fused Agent Kernel for Claude Code, Codex, Cursor, and MCP: use fewer tokens and do less repeated work with cache-stable model traffic, context compaction + crash resume, local repeat serving, nanosecond tool policy, and local GGUF inference.
DeepSeek AI 官方 DeepSeek Harness (dsh) 的独立、基于源码的 handbook：覆盖 Agent、插件、安全、故障排查与 runbook。Independent, source-backed handbook for DeepSeek AI's official DeepSeek Harness (dsh): agents, plugins, security, troubleshooting, and runbooks.
排名第一的 Obsidian AI 记忆 MCP——时效感知、引用可追溯、本地优先且默认只读。支持 Dataview、Bases、PDF，适配各类 agent。The #1 Obsidian MCP for AI memory — freshness-aware, cited, local-first and read-only by default. Dataview, Bases, PDFs, every agent.
面向 RAG 与 Agent 流水线的快速、确定性文档解析器与切分器，内置 MCP server，便于 Agent 精确导航长文档。Fast, deterministic document parser and chunker for RAG and agent pipelines. Ships an MCP server for agents navigating long documents with precision.
可自托管的 Agentic OS：通过签名插件构建、运行与审计多 Agent AI 团队。自带 LLM key，数据完全自有，符合 EU/GDPR 要求。Self-hostable agentic OS. Build, run & audit multi-agent AI teams from signed plugins. Bring your own LLM key, own all your data, EU/GDPR-ready.
发布 AI Agent 制品，而非 demo 表演 — 验证器把关、跨模型族运行，自动学习哪个模型最优。Ship AI-agent artifacts, not demo theater — verifier-gated, cross-family runs that learn which model wins.
让 AI 编码 Agent（Claude、Codex、Gemini 等）无人值守运行——自动应答 prompt、遇限流自动重试，并可在本地或通过 agent-yes.com 列出 / 跟踪 / 操控每个 Agent。Run AI coding agents (Claude, Codex, Gemini …) unattended — auto-answer prompts, auto-retry on rate limits, and list/tail/steer every agent locally or from agent-yes.com
一个 170k token 的复杂业务系统。ObjectStack 将整个应用——数据模型、UI、工作流、权限——压缩为带类型的元数据，使 AI Agent 能在上下文中完整掌握、推理并重构。A complex business system in 170k tokens. ObjectStack compresses an entire app — data model, UI, workflows, permissions — into typed metadata, an AI agent can hold in context, reason about, and refactor whole.
面向 Claude、Cursor 及 AI agent 的 GeneXus 18 MCP server，通过 Model Context Protocol 对 KB 对象（transactions、web panels、procedures、SDTs）进行读取、编辑与分析。GeneXus 18 MCP server for Claude, Cursor, and AI agents — read, edit, analyze KB objects (transactions, web panels, procedures, SDTs) over the Model Context Protocol.
保存文章、AI 研究来源和 newsletter 邮件链接。准备好时再阅读。无第三方追踪。由 js-cookie 的作者基于其 10 年个人阅读系统打造。Save articles, AI research sources, and newsletter email links. Read them when you're ready. No third-party tracking. Built by the creator of js-cookie from a 10-year personal reading system.