DuDuClaw

Name: DuDuClaw
Author: zhixuli0406

作者：zhixuli0406版本 1.74.0i★ –i在你的电脑上运行

注册名称io.github.zhixuli0406/duduclaw

安装

概览

作者提供的说明（英文原文）

Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 开发者工具
你需要填写：DUDUCLAW_MCP_API_KEY

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： DUDUCLAW_MCP_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "duduclaw": {
      "command": "npx",
      "args": [
        "-y",
        "duduclaw",
        "mcp-server"
      ],
      "env": {
        "DUDUCLAW_MCP_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add duduclaw --env DUDUCLAW_MCP_API_KEY=your-value -- npx -y duduclaw mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "duduclaw": {
      "command": "npx",
      "args": [
        "-y",
        "duduclaw",
        "mcp-server"
      ],
      "env": {
        "DUDUCLAW_MCP_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "duduclaw": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "duduclaw",
        "mcp-server"
      ],
      "env": {
        "DUDUCLAW_MCP_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

DUDUCLAW_MCP_API_KEY 机密必填 env
Key for the standalone server. Create one with `npx duduclaw mcp init` (prints it once; stored only as a hash).

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 zhixuli0406 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

星标数多于此分类中其他 4919 个服务器的 0%
发布到注册中心的时间比此分类中其他 4919 个服务器的 64% 更新
基础检查结果等于或优于此分类中其他 4919 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

DuDuClaw 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：DUDUCLAW_MCP_API_KEY

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.74.0）于23天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它？

同一分类中有：GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者：github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新

安装

Desktop Commander

作者：wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT17天前更新

安装

Cloudflare MCP

作者：cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

DuDuClaw

English · 繁體中文 · 日本語

DuDuClaw turns AI command-line tools such as Claude Code and Codex into AI employees who actually deliver: they staff eleven messaging apps like Telegram, LINE, and Discord, an independent judge reviews their work before it ships, and every dollar they spend gets logged.

All you need is one Rust binary. Channel routing, conversation memory, multi-account rotation, behavioral guardrails, local inference, and a web dashboard are built in; swap the AI brain between ten CLI backends (Claude Code, Codex, Grok and others) or any OpenAI-compatible API whenever you like, and your config and memory stay on your own machine. The core is Apache 2.0.

The task board in the v1.74.0 dashboard. The staff and tasks are demo data.

Quick start (needs Node.js 20+; prefer a desktop app? see Install):

npm install -g duduclaw

duduclaw run # then open http://localhost:18889

Why DuDuClaw?
Architecture at a glance
Prerequisites
Install
Quick start
Feature overview
CLI commands
Trust and security
Comparison
Documentation
License

Why DuDuClaw?

If you run claude or gemini in a terminal now and then, the native CLIs are all you need. The moment you want an AI staffing your LINE official account, covering your team's Discord, or running several agents with different jobs, you end up building a whole infrastructure layer yourself. DuDuClaw ships that layer:

Need	Native CLI	DuDuClaw
Telegram / LINE / Discord access	Terminal only	11 channels, per-agent bot tokens
Multi-LLM failover	Manual restart	4 rotation strategies + cross-provider failover
Context survives switching LLMs	Lost	Preserved
Conversation memory and knowledge base	Single session	SQLite temporal memory + layered wiki, auto-injected
Tools shared across LLMs	Rewrite per vendor	253 MCP tools written once, reachable from the Claude, Codex, Grok and OpenAI-compatible runtimes
Guardrails / audit / secret management	Build it yourself	Policy kernel + OS sandbox + AES-256-GCM built in
A whole box to hand to a customer	Install Linux yourself, manage updates and tamper resistance yourself	DuDuClaw OS image: A/B update with rollback + read-only root, plug in and go; a desktop shared by a person and the AI without getting in each other's way

v1.76.0: scheduled assignments let you hand work to an AI employee for later or on a repeat, from chat or the dashboard. Each run checks the creator's current permission.

Architecture at a glance

The AI runtime is the brain, DuDuClaw is the plumbing, and MCP (JSON-RPC 2.0) is the bridge. Swap the brain, keep the plumbing:

AI Runtime (brain) — Claude Code / Codex / Grok / … (10 CLIs) / OpenAI-compat

↕ MCP Protocol (JSON-RPC 2.0, stdin/stdout) DuDuClaw (plumbing) ├─ Channel Router — Telegram / LINE / Discord / Slack / WhatsApp / Feishu │ / Google Chat / Microsoft Teams / WeCom / DingTalk / WebChat ├─ Multi-Runtime — 11 runtime ids (10 CLIs + OpenAI-compat), auto-detected, per agent ├─ Session Memory — native --resume + temporal memory + key facts + layered wiki ├─ MCP Server — 253 tools (channels, memory, agents, skills, tasks, wiki, ERP) ├─ Evolution Engine — prediction-driven + AEE playbook rules + MistakeNotebook ├─ Security — PolicyKernel reference monitor + OS sandbox + redaction vault ├─ Inference Engine — OpenAI-compatible local server (llama-server / Ollama / vLLM) / llamafile ├─ Account Rotator — OAuth + API key rotation, budgets, health checks └─ Web Dashboard — React 19 SPA, embedded via rust-embed

The Rust workspace is 24 crates: the duduclaw-core foundation, the duduclaw-gateway service layer, the duduclaw-llm unified API layer, duduclaw-inference for local models, duduclaw-memory for cognitive memory, duduclaw-security, and more. Full design in ARCHITECTURE.md.

Experimental calibrated local routing uses Varun Kotte's UCCI (arXiv:2605.18796). See UCCI calibrated cascade for configuration and data preparation.

The same gateway + dashboard also ships as a whole machine: DuDuClaw OS is a Yocto-built appliance image. Its Yocto layer and release pipeline live in their own repo and vendor this repo's Rust workspace as a trimmed snapshot; see the Install section below.

Prerequisites

DuDuClaw doesn't ship its own LLM — you need an AI brain first. Pick one (you can also set this up later in the browser wizard):

Install one of the supported AI CLIs, such as Claude Code or Codex (the full list is in multi-runtime); Gemini CLI is no longer a DuDuClaw runtime. Anthropic's policy does not permit third-party products to offer Claude.ai login, route requests through Free/Pro/Max plan credentials on their users' behalf, or store those credentials, and Anthropic may enforce this without notice (users have reported suspended accounts). An API key is the supported path; subscription sign-in stays available behind a risk notice you have to accept
Bring an API key for any OpenAI-compatible provider
Or run a local model behind an OpenAI-compatible server (llama-server, Ollama, vLLM, llamafile) — no cloud account needed

In the Dashboard, one-click login supports Claude, Codex, Grok, Kimi, Copilot, Kiro and OpenCode when the CLI is installed. Codex uses codex login --device-auth: open the verification page shown by the CLI, enter its device code, and wait for completion. The browser does not need access to a Docker callback port, and pasting a callback URL code into the Dashboard does not authenticate. On the Accounts page, the API Token card can delete a saved account after you confirm its account id; revoke the key separately at its provider if needed.

Install

Desktop app (recommended for personal use)

A native Tauri build that starts the local gateway automatically when you launch it — no terminal required — and shares ~/.duduclaw with the CLI. Download from Releases:

Platform	File	Notes
macOS (Apple Silicon / Intel)	`DuDuClaw_*.dmg`	Signed + Apple notarized, opens cleanly
Windows x64	`DuDuClaw_*_x64_en-US.msi`	No Authenticode certificate yet, so SmartScreen warns; click "More info" then "Run anyway" to install — unblock details in docs/guides/desktop-unblock.md
Linux	`*_amd64.AppImage` / `.deb`	No signing needed

The macOS desktop build is available again from v1.68.1 (signed and notarized). v1.67.0 through v1.68.0 have no macOS build; Windows and Linux builds exist for those versions.

Open it and you're done — the in-app wizard walks you through picking an AI backend and creating your first agent, no commands needed.

npm (advanced / server use, all platforms including Windows)

For running on a server, scripting automation, or if you just prefer the command line. The only prerequisite is Node.js 20+:

npm install -g duduclaw

This installs a prebuilt binary for your platform (macOS ARM64/x64, Linux x64/ARM64, Windows x64). No compiler, no Rust.

⚠️ If the install asks you for Rust / MSVC Build Tools and a 1.5-hour compile, you took a wrong turn. That path is "build from source" for contributors; regular users should use the npm command above.

DuDuClaw OS (appliance image, pre-GA)

If you would rather not dedicate a computer, get a box that runs the moment you plug it in: DuDuClaw OS is a Yocto-built Linux operating system in which the AI agent is a native resident: it boots into its own desktop (compositor / shell, lock screen, Cmd+K delegation bar), so a person and the AI share one x86-64 box without getting in each other's way — the agent's GUI work runs in a shadow workspace by default, and the moment you touch the keyboard or mouse, whatever it was driving on your desktop yields. The desktop edition ships with A/B atomic updates and rollback, a read-only root, and preloaded Chromium / LibreOffice (Steam installs from Flathub) plus a Chinese IME; Secure Boot signing, dm-verity and TPM2 are build-time overlay options that remain disabled as of the current v0.4.0 release, so boot with Secure Boot turned off in the BIOS/UEFI.

The current release is v0.4.0 (embedding platform v1.73.4). The gateway now runs as a non-root user with its containers on rootless Podman, SSH is off by default, and the base image gets the same firewall as the desktop edition. The upgrade is one-way: once v0.4.0 has booted successfully, a device cannot roll back to v0.3.0 or earlier, which stay on the Releases page only as older releases. Download the whole-disk .wic.zst (desktop edition), the installer-desktop installer .iso (writes the desktop edition), or the plain installer .iso (writes the base image, without the app layer) from DuDuClaw-OS Releases; every file comes with a .sha256 and a minisign signature, and the verification commands are on the OS README on the docs site. This is a bring-up line (0.x): QEMU-verified, not yet booted on real hardware, and upgrading an existing v0.3.0 box through the A/B update has not been verified yet. Hardware requirements and compatible machines: docs/guides/hardware-requirements.md; product overview: docs/features/50-duduclaw-os-appliance.md.

Build from source

Prerequisites: Rust 1.85+, Node.js 20+.

git clone https://github.com/zhixuli0406/DuDuClaw.git

cd DuDuClaw cd web && npm ci --legacy-peer-deps && npm run build && cd .. cargo build --release -p duduclaw-cli -p duduclaw-gateway --features duduclaw-gateway/dashboard ./target/release/duduclaw run

Python SDK (optional library)

The core

只显示了开头部分；其余内容请在仓库中阅读

DuDuClaw

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“开发者工具”中的其他服务器比较i

常见问题

替代选择

GitHub

Desktop Commander

Cloudflare MCP

作者的 README

DuDuClaw

Table of contents

Why DuDuClaw?

Architecture at a glance

Prerequisites

Install

Desktop app (recommended for personal use)

npm (advanced / server use, all platforms including Windows)

DuDuClaw OS (appliance image, pre-GA)

Build from source

Python SDK (optional library)