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openclaw 精选资源合集
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MCP工具

openclaw 精选资源合集

让 AI 助手直接操作你的系统与工具
英文名:awesome-openclaw
⭐ 914 Stars 🍴 197 Forks 📄 MIT 🏷 AI 8.2分
8.2AI 综合评分
MCP工具AI智能体自动化框架开源生态资源导航
✦ AI Skill Hub 推荐

经 AI Skill Hub 精选评估,openclaw 精选资源合集 获评「强烈推荐」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。

📚 深度解析

openclaw 精选资源合集 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 openclaw 精选资源合集,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。openclaw 精选资源合集 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 openclaw 精选资源合集 评为 AI 评分 8.2 分,属于同类工具中的优质选择。

📋 工具概览

专业的OpenClaw资源精选列表,汇总MCP工具、AI智能体框架、自动化脚本和教程文章。为AI开发者、自动化工程师和智能体应用构建者提供完整的开源生态导航和最佳实践参考。

openclaw 精选资源合集 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 914
开发语言
多语言
支持平台
Windows / macOS / Linux
维护状态
正常维护,社区驱动
开源协议
MIT
AI 综合评分
8.2 分
工具类型
MCP工具
Forks
197

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

专业的OpenClaw资源精选列表,汇总MCP工具、AI智能体框架、自动化脚本和教程文章。为AI开发者、自动化工程师和智能体应用构建者提供完整的开源生态导航和最佳实践参考。

openclaw 精选资源合集 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/SamurAIGPT/awesome-openclaw

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "openclaw-------": {
      "command": "npx",
      "args": ["-y", "awesome-openclaw"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 openclaw 精选资源合集 执行以下任务...
Claude: [自动调用 openclaw 精选资源合集 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "openclaw_______": {
      "command": "npx",
      "args": ["-y", "awesome-openclaw"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 53/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

Awesome OpenClaw [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

A curated list of OpenClaw resources, tools, skills, tutorials, articles, and community projects — the open-source self-hosted AI agent taking the world by storm.

OpenClaw (formerly Moltbot, originally Clawdbot) is a free and open-source autonomous AI agent created by Peter Steinberger. It runs locally on your machine, connects to 50+ integrations, and lets you chat with AI through WhatsApp, Telegram, Discord, Signal, iMessage, and more — no subscription required.

GitHub stars

<img width="1536" height="1024" alt="OpenClaw AI agent dashboard — open-source self-hosted personal AI assistant" src="https://github.com/user-attachments/assets/dc60b4c4-18f4-4ebd-a5b9-8294d2e924ab" />

---

Getting Started

Quick Install

```bash

Install via npm (Node.js 22+ required)

npm install -g openclaw@latest

Installation Guides

GuidePlatformDescription
[Official Getting Started](https://docs.openclaw.ai/start/getting-started)AllOfficial setup guide
[Codecademy Tutorial](https://www.codecademy.com/article/open-claw-tutorial-installation-to-first-chat-setup)AllInstallation to first chat
[Hostinger Guide](https://www.hostinger.com/tutorials/how-to-set-up-openclaw)VPSPrivate server setup
[DigitalOcean One-Click](https://www.digitalocean.com/community/tutorials/how-to-run-openclaw)CloudOne-click cloud deployment
[LMStudio Setup](https://nwosunneoma.medium.com/how-to-setup-openclaw-with-lmstudio-1960a8046f6b)LocalRun with local LLM models
[Docker Setup](https://habr.com/en/articles/992720/)DockerContainer deployment
[Afternoon Setup Guide](https://amankhan1.substack.com/p/how-to-get-clawdbotmoltbotopenclaw)AllQuick setup walkthrough
[Remote OpenClaw](https://remoteopenclaw.com)Managed CloudManaged OpenClaw hosting on dedicated infrastructure — 12-step security hardening, Tailscale, workflow configuration, dedicated Slack support, 60+ deployment guides
[OctoClaw](https://octoclaw.ai)Managed CloudFully managed EU hosting — zero setup, pre-provisioned phone number, AI starter budget included, GDPR-compliant
[SlackClaw](https://slackclaw.ai)Managed CloudManaged OpenClaw hosting for Slack — credit-based pricing, per-channel permissions, audit logging, auto-updates. No per-seat fees.
[RapidClaw](https://rapidclaw.dev)Managed CloudManaged OpenClaw hosting for non-technical operators — zero terminal/Docker/SSH setup, deploys in minutes, opinionated defaults.

---

Installing Skills

```bash

Install from ClawHub

openclaw skills install <skill-name>

Install from npm

openclaw plugins install <npm-package> ```

Deployment & Infrastructure

ProjectStarsDescription
[moltworker](https://github.com/nicepkg/moltworker)7.9kRun OpenClaw on Cloudflare Workers
[OpenClaw Easy](https://openclaw-easy.com)NEWZero-setup OpenClaw desktop app for macOS & Windows. No terminal, no config files — download, launch, and chat via WhatsApp, Telegram, Slack, Discord, Feishu or Line in minutes. Runs 100% locally.
[OpenClawInstaller](https://github.com/getinstall/OpenClawInstaller)1.3kOne-click deployment tool for OpenClaw
[OpenClaw Kit (TurboStarter)](https://www.turbostarter.dev/openclaw)NEWOpinionated OpenClaw wrapper starter kit with infrastructure, auth, billing, integrations, dashboard and deployment setup.
[openclaw-docker](https://github.com/openclaw/openclaw-docker)-Official Docker images and compose files
[claw-k8s](https://github.com/cloudnative/claw-k8s)-Kubernetes deployment manifests
[TeamClaw](https://github.com/ChannelDAO/teamclaw)NEWEnterprise AI collaboration platform. Per-user containers, centralized API key pool, team configuration. Self-hosted on AWS ECS/Fargate. Apache 2.0.
[MimiClaw](https://github.com/memovai/mimiclaw)NEWRun OpenClaw on a $5 ESP32-S3 chip without Linux or Node.js
[openclaw-self-healing](https://github.com/Ramsbaby/openclaw-self-healing)NEW4-tier autonomous self-healing system with Claude Code as emergency doctor
[claude-discord-bridge](https://github.com/Ramsbaby/claude-discord-bridge)NEWFull AI company-in-a-box for Discord — 45 cron tasks, 12 AI teams, RAG memory, self-healing, $0 extra for Claude Max subscribers. Battle-tested 24/7 production system.
[OctoClaw](https://octoclaw.ai)NEWFully managed OpenClaw hosting on Hetzner (Germany) — GDPR-compliant, pre-provisioned phone number, AI starter budget on every plan, BYOK. Plans from €19/mo.
[SlackClaw](https://slackclaw.ai)NEWManaged OpenClaw deployment specifically for Slack workspaces. Credit-based pricing, per-channel agent permissions, built-in security (audit logs, output filtering, DM controls). Setup in minutes.
[Silos Dashboard](https://github.com/cheapestinference/silos)NEWOpen-source (MIT) multi-tenant dashboard for OpenClaw — shared browser session, multi-channel support (WhatsApp, Telegram, Discord, Slack), built-in skills marketplace, Docker one-command deploy, cron jobs, analytics, i18n (en/es/fr/de), dark/light theme. Also available as [managed hosting](https://silosplatform.com) with flat-rate AI inference included.
[PhoneClaw](https://github.com/rohanarun/phoneclaw)NEWAutomate all android phone apps
[LightClaw](https://github.com/OthmaneBlial/lightclaw)NEWLightweight OpenClaw-inspired Python agent core: Telegram-first, infinite memory, multi-LLM providers, ClawHub skills, and local agent delegation (codex/claude/opencode).
[WaliGPT](https://waligpt.com)NEWOne-click deployment platform for pre-configured OpenClaw agents. Ships with ready-to-deploy templates for crypto trading, Polymarket betting, Telegram alpha monitoring, Twitter automation, NFT tracking, Discord moderation, and more. Each agent runs on an isolated cloud instance — no DevOps required.

Tutorials & Guides

Guidelines

  • Ensure links are working
  • Add brief descriptions
  • Place new entries alphabetically within sections
  • One resource per line

---

Skills & Plugins

Plugin Development

  • Plugin Documentation - Official plugin guide
  • Each plugin needs a openclaw.plugin.json file
  • Supports both .js and .ts entry files

Community Plugins

  • clawsocial-plugin - Social discovery network — helps users find and connect with people who share their interests through their AI agent. Semantic matching, real-time messaging, profile cards, web inbox. Ready to use out of the box.

---

Integrations

Chinese IM Integrations

ProjectStarsDescription
[openclaw-dingtalk](https://github.com/nicepkg/openclaw-dingtalk)500+DingTalk (钉钉) integration
[openclaw-feishu](https://github.com/nicepkg/openclaw-feishu)400+Feishu/Lark (飞书) integration
[openclaw-wechat](https://github.com/nicepkg/openclaw-wechat)600+WeChat (微信) integration
[openclaw-qq](https://github.com/nicepkg/openclaw-qq)300+QQ integration
[openclaw-wework](https://github.com/nicepkg/openclaw-wework)200+WeCom/企业微信 integration

Development Workflows

ProjectStarsDescription
[Agent Modes Checker](https://github.com/illbnm/openclaw-agent-modes)NEWSelf-check framework for AI usage patterns — Captain/Architect/Abdicator decision tree, interactive CLI tool, local model recommendations, Fast Mode guide (v2026.3.12), K8s deployment
[FTW](https://github.com/SmokeAlot420/ftw)NEWFirst Try Works — PIV (Plan-Implement-Validate) workflow with independent validation agents
[miniclaw-os](https://github.com/augmentedmike/miniclaw-os)NEWBatteries-included plugin ecosystem for OpenClaw on Mac mini home servers — includes mc-board (Kanban agent), mc-seo (SEO automation + rank tracking), mc-email (multi-account email), mc-kb (vector knowledge base), mc-designer (AI image generation), mc-human (VNC desktop control), mc-youtube (video pipeline), and more. Turn your Mac mini into a fully autonomous personal AI OS.

Alternatives & Comparisons

OpenClaw is often compared to other autonomous AI agents and self-hosted AI assistants. Here's how it stacks up:

AgentTypeBest For
[OpenClaw](https://openclaw.ai/)Open SourcePersonal AI assistant, chat-driven, 12+ messaging platforms
[Manus AI](https://manus.ai/)ProprietaryGeneral agent framework
[OpenManus](https://github.com/openmanus)Open SourceOpen-source Manus AI alternative
[AutoGPT](https://github.com/Significant-Gravitas/AutoGPT)Open SourceAutonomous task execution
[Open Interpreter](https://github.com/OpenInterpreter/open-interpreter)Open SourceTerminal-based code execution
[Claude Code](https://claude.ai/code)ProprietaryDeveloper coding assistance
[claw-army/claude-node](https://github.com/claw-army/claude-node)Open SourcePython subprocess bridge for Claude Code CLI, giving Python code direct access to Claude Code native capabilities via stream-json
[Jan.ai](https://jan.ai/)Open SourcePrivacy-focused, fully offline
[Agent Zero](https://github.com/frdel/agent-zero)Open SourceFully local autonomous agent
[Khoj](https://github.com/khoj-ai/khoj)Open SourceOpen-source personal AI
[eesel AI](https://eesel.ai/)SaaSBusiness customer service

Comparison Resources

---

FAQ

What is OpenClaw? OpenClaw is a free, open-source, self-hosted AI agent created by Peter Steinberger (formerly known as Clawdbot and Moltbot). It runs locally on your computer and connects to WhatsApp, Telegram, Discord, and 12+ other messaging platforms.

How is OpenClaw different from ChatGPT? OpenClaw is self-hosted (runs on your own machine), open-source, supports any AI model (including local models via Ollama), and integrates with real-world tools like GitHub, Gmail, and smart home devices. ChatGPT is a cloud service operated by OpenAI.

Does OpenClaw work with local LLMs? Yes. OpenClaw supports Ollama and LM Studio, letting you run models like DeepSeek, Llama, Mistral, and others entirely offline without sending data to any cloud service.

What is the difference between Clawdbot, Moltbot, and OpenClaw? All three names refer to the same project. It started as Clawdbot, was renamed to Moltbot, and eventually became OpenClaw as it went fully open-source.

Is OpenClaw free? Yes. OpenClaw is MIT licensed and completely free to use. You only pay for any AI API calls you make (e.g., OpenAI or Anthropic), or you can run it fully free with local models via Ollama.

How do I install OpenClaw? Run npm install -g openclaw@latest then openclaw onboard to start the setup wizard. See the Installation Guides section for platform-specific guides.

---

🎯 aiskill88 AI 点评 A 级 2026-05-21

aiskill88点评:高质量的开源生态导航资源,汇聚优质工具和最佳实践,对AI智能体开发者具有重要参考价值,社区活跃度良好。

📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
  • 构建企业知识库 / RAG 检索应用的团队
  • 跨境业务、多语言内容运营团队
  • 做语音类 AI 产品的开发者
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
  • 分块大小建议 256-512 tokens,向量库优选 pgvector 或 Qdrant
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • embedding 模型与查询模型不一致导致检索失效
  • 显存不足直接 OOM — 优先降低 context 或换更小的量化模型
部署方案
  • Docker:awesome-openclaw 提供官方镜像,docker compose up 一键启动
  • CLI:直接 npm install -g / pip install,命令行调用
  • 本地部署:CPU 8GB 起,GPU 推荐 16GB+ 显存
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
awesome-openclaw 中文教程awesome-openclaw 安装报错怎么办awesome-openclaw MCP 配置awesome-openclaw Docker 部署awesome-openclaw Agent 工作流awesome-openclaw 与同类工具对比awesome-openclaw 最佳实践awesome-openclaw 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
  • 构建企业知识库 / RAG 检索应用的团队
  • 跨境业务、多语言内容运营团队
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
  • 分块大小建议 256-512 tokens,向量库优选 pgvector 或 Qdrant
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • embedding 模型与查询模型不一致导致检索失效

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 使用场景

  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

🔗 相关工具推荐

📚 相关教程推荐
📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

OpenClaw是开源的MCP(Model Context Protocol)工具和AI智能体框架集合。
💡 AI Skill Hub 点评

AI Skill Hub 点评:openclaw 精选资源合集 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 openclaw 精选资源合集
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 awesome-openclaw
原始描述 开源MCP工具:A curated list of OpenClaw resources, tools, skills, tutorials & articles. OpenC。⭐914
Topics MCP工具AI智能体自动化框架开源生态资源导航
GitHub https://github.com/SamurAIGPT/awesome-openclaw
License MIT
🔗 原始来源
🐙 GitHub 仓库  https://github.com/SamurAIGPT/awesome-openclaw 🌐 官方网站  https://openclaw.ai

收录时间:2026-05-14 · 更新时间:2026-05-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。

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