AI之路AI 开源项目

🤖 AI 智能体

自主智能体、多智能体编排、浏览器与 GUI Agent

全部 1047🧠 大语言模型 25🤖 AI 智能体 164🧩 应用开发平台 23📚 RAG 与知识库 46💬 聊天界面与客户端 42🖥️ 本地推理与部署 87👨‍💻 AI 编程 97🛠️ 开发框架与 SDK 48🔌 MCP 与工具生态 36🎨 图像生成 26🎬 视频生成 18🎙️ 语音与音频 44👁️ 计算机视觉 26📄 文档解析与抓取 24🗄️ 向量数据库 25🏋️ 训练微调与 MLOps 76🧪 评测·观测·安全 80🚪 API 网关与代理 12🔎 搜索与深度研究 13⚙️ 深度学习基础库 54🏷️ 数据与标注 31🔬 行业与科研 AI 36⚡ 效率工具 14
161 个项目排序:推荐Star 数最热最新

A living pixel-art station where real AI agents do real work. Local-first desktop agent harness - bring your own key, watch your crew actually run.

🤖 AI 智能体JavaScriptAgentLLM★ 1.4k

Memory for Claude Code, Codex, Cursor and 38 more coding agents, built from the session history already on your disk. Local search, MCP and hooks, no LLM, one Go binary.

Local security audit for AI API relays and LLM proxies: detects prompt injection, model substitution, tool-call rewriting, SSE anomalies, error leakage, and Web3 wallet risks.

🤖 AI 智能体PythonAgent★ 879

Think before doing, prove before saving. Vestige is a local, deterministic safety kernel for AI agents. Every memory write and agent action is recorded in Strata, a signed, append-only log, so you can see exactly what yo

🤖 AI 智能体RustAgent★ 649

The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.

Multi-harness control plane for Claude Code, Codex, Cursor, and OpenCode: quota-aware rotation across multiple Claude/Codex subscriptions, shared thread context, and cross-model review.

🤖 AI 智能体TypeScriptAgent★ 503

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

🤖 AI 智能体PythonAgentMCP★ 497

Open-source database & workspace for AI agents — structured data, durable knowledge, reusable skills, runnable apps, and human review on the writes that matter. Local-first and self-hostable.

🤖 AI 智能体TypeScriptAgentMCP★ 473

The collaboration layer for AI teams: domain experts annotate and review agent behavior, engineers improve the agent from what they find.

🤖 AI 智能体Python★ 397