开源超级 AI 助手与 Agent 编排框架。任务规划、工具与 Skill 调用、基于记忆和知识的自演化。多模型、多通道、轻量、可扩展,一行安装。(原名 chatgpt-on-wechat)Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
仓库/Skill 库
62 个 · Agent 智能体 · 模型
增强版 ChatGPT 克隆:支持 Agents、MCP、Skills、DeepSeek、Anthropic、AWS、OpenAI、Responses API、Azure、Groq、o1、GPT-5、Mistral、OpenRouter、Vertex AI、Gemini、Artifacts、AI 模型切换、消息搜索、Code Interpreter、langchain、DALL-E-3、OpenAPI Actions、Functions、安全多用户认证、Presets,支持自托管开源。仍在活跃维护。Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active
面向 agents、助手和企业搜索的私有 AI 平台,内置 Agent Builder、深度研究、文档分析、多模型支持,以及为 agents 提供 API 连接能力。Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
该开源课程通过 .NET、Java、TypeScript、JavaScript、Rust 和 Python 等跨语言真实案例,介绍 Model Context Protocol (MCP) 的基础知识。面向开发者,聚焦从会话建立到服务编排的模块化、可扩展且安全的 AI 工作流实践技巧。This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
使用 Model Context Protocol 和简洁的工作流模式构建高效的 Agent。Build effective agents using Model Context Protocol and simple workflow patterns
掌控你的 AI。面向 AI Agent 的原生 macOS Harness——任意模型、持久记忆、自主执行、加密身份。Swift 开发,完全离线,开源。Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
构建端到端可控的 agent harness。面向生产级 AI agent 的开源 SDK,支持 Python 与 TypeScript —— 兼容任意模型、任意云。Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
一款提供 iOS 与 macOS 项目开发工具的 Model Context Protocol (MCP) server 与 CLI,供 Agent 使用。A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
通过 CLI、Model Context Protocol (MCP) server 和 AI Agent Skill 编程访问 Gemini Notebook。Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.
5ire 是一款跨平台桌面 AI 助手与 MCP 客户端,兼容主流服务提供商,通过 model context protocol server 支持本地知识库与工具调用。5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .
Zotero MCP:通过 Model Context Protocol 将你的 Zotero 研究库与 Claude 及其他 AI 助手连接,用于讨论论文、获取摘要、分析引用等。Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.
开源 AI 研究工作台,搭载 scientific agents,专注于可复现的研究与发现。Open-Source AI research workbench with scientific agents for reproducible research and discovery.
用于检索与分析 arXiv 论文的 Model Context Protocol server。A Model Context Protocol server for searching and analyzing arXiv papers
MCP服务器,可将几乎任何内容转换为MarkdownA Model Context Protocol server for converting almost anything to Markdown
ToolHive是用于运行和管理MCP服务器的企业级平台ToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.
面向Unity Editor的MCP连接插件,专为Cursor、Claude Code、Codex、Windsurf及其他IDE设计Model Context Protocol (MCP) plugin to connect with Unity Editor — designed for Cursor, Claude Code, Codex, Windsurf and other IDEs
潜入 Shell 的幽灵。Ante 是一个自包含的 Agent 框架,核心高度优化。体验类似 Claude Code 或 Codex,但无其依赖与模型限制。Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints.
[GenAI 应用开发框架] 🚀 快速轻松构建 GenAI 应用 💬 在代码中使用结构化数据和链式调用语法与 GenAI Agent 交互 🧩 使用事件驱动的 *TriggerFlow* 管理复杂的 GenAI 业务逻辑 🔀 无需重写代码即可切换任意模型[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code
一个支持与 MySQL 数据库安全交互的 Model Context Protocol (MCP) server。A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
使用 Model Context Protocol (MCP) 和 REST API 为 TikTok、Instagram Reels 和 YouTube Shorts 创建短视频。Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.
一个作为统一工具集成的桌面 MCP client,通过 Model Context Protocol (MCP) 加速 AI 采用,并支持跨厂商 LLM API 编排。A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
AI 短剧制作的 skill 集合:拆角色、出设定图、排大纲 | Agent skills for AI short-drama production — character bibles, model sheets, adaptation outlines. Runs in Claude Code & codex.
论文"LAMBDA: A large Model Based Data Agent"的官方仓库。https://www.polyu.edu.hk/ama/cmfai/lambda.htmlThis is the offical repository of paper "LAMBDA: A large Model Based Data Agent". https://www.polyu.edu.hk/ama/cmfai/lambda.html
x64dbg-MCP Server 是 x64dbg 的原生 MCP(Model Context Protocol)插件,通过 HTTP 暴露调试器全部功能。可连接任意兼容 MCP 的 AI 助手,以编程方式控制 x64dbg:设置断点、单步执行、读取内存、转储寄存器等。基于 Zig 构建——零依赖、单二进制输出,跨平台。x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros
基于 Hermes Agent 的自主攻击性安全、漏洞悬赏与红队 Agent 框架,具备专用推理技能与多模型 LLM 编排能力。Autonomous Offensive Security, Bug Bounty & Red Teaming Agent Framework powered by Hermes Agent, specialized reasoning skills, and multi-model LLM orchestration.
Model Context Protocol (MCP) 服务器的 Node.js 实现,支持从多源(包括 **Web of Science**、arXiv 等)搜索和下载学术论文。A Node.js implementation of the Model Context Protocol (MCP) server for searching and downloading academic papers from multiple sources, including **Web of Science**, arXiv, and more.
AI 驱动的 CLI 编码 Agent,内置 20+ 工具,支持 MCP 与多模型提供商。AI-powered CLI coding agent with 20+ built-in tools, MCP support, and multi-model providers
开源核心的 AI 工作台——覆盖任何模型的 notebooks、Agent、RAG、语音和图像:OpenAI、Anthropic、Google、xAI,或通过 Ollama/vLLM 的本地模型。BSL 1.1,两年后自动转换为 Apache-2.0。当别人的 AI 停止运行时,你的 AI 仍在运行。The open-core AI workbench — notebooks, agents, RAG, voice, and images across any model: OpenAI, Anthropic, Google, xAI, or local via Ollama/vLLM. BSL 1.1, auto-converting to Apache-2.0 on a two-year clock. Your AI keeps running when theirs doesn't.
双模式 AI 研究工作空间:DeepSearch 在约 2 分钟内将查询转化为带引用的网络报告;Research Mode 运行 25 个 Agent 的流水线,撰写完整学术论文(含 PRISMA 流程图、经核验的引用,导出 PDF/DOCX);设有 4 个人机协同检查点;基于 LangGraph、FastAPI 与任意 OpenAI 兼容 LLM 构建AI research workspace with two modes — DeepSearch turns a query into a cited web report in ~2 min; Research Mode runs a 25-agent pipeline that writes a full academic paper (PRISMA diagram, verified citations, PDF/DOCX export). 4 human-in-the-loop checkpoints. Built with LangGraph, FastAPI, and any OpenAI-compatible LLM.
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.
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.
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.
面向 AI agent 的基于证据的评估——将每条断言与 agent 真实工具输出进行核对(受约束、基于证据的模型判断,而非整体式 LLM 评判的猜测),并附带置信区间。Evidence-grounded evaluation for AI agents — verifies each claim against the agent's real tool outputs (constrained, evidence-grounded model judgment, not holistic LLM-judge guesswork), with confidence intervals.
面向律所的自托管、GDPR 合规 AI Agent。零云依赖、哈希链审计追溯(符合 AI Act 第 12 条)、自带模型、支持 9 种语言版本。willchen96/mike 的硬分叉,AGPL-3.0 许可。Self-hosted, GDPR-safe AI agent for law firms. Zero-cloud, hash-chained audit trail (AI Act art. 12), bring-your-own-model, 9 language editions. Hard fork of willchen96/mike, AGPL-3.0.
本地 Windows 桌面监视器,用于查看正在运行的 Claude Code agent —— 实时状态、预估成本、模型、主机以及一键聚焦,按项目分组。只读且完全离线。Local Windows desktop monitor for your running Claude Code agents - live status, estimated cost, model, host and one-click focus, grouped by project. Read-only and fully offline.