Power your agent
Perintah milik penerbit sendiri. Bukan endpoint PlugMCP.
Host a copy with our keys and logs.
npx -y [email protected]Claude Code tidak punya tautan instal untuk perintah lokal. Salin perintah di bawah dan jalankan di terminal.
DUDUCLAW_MCP_API_KEY=<secret> claude mcp add io.github.zhixuli0406-duduclaw -- npx -y duduclaw@1.74.0Jalankan di terminal.
{ "mcpServers": { "io.github.zhixuli0406-duduclaw": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "DUDUCLAW_MCP_API_KEY": "<secret>" } } }}claude_desktop_config.json
URL remote atau perintah di mesin Anda? Perbedaan kedua cara instal
Jalankan di PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
BukaDari penerbit
DuDuClaw turns AI command-line tools such as Claude Code, Codex and Antigravity 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.
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
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 eleven CLI backends (Claude Code, Codex, Antigravity, 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.
npm install -g duduclaw
duduclaw run # then open http://localhost:18889
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:
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.
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 / Antigravity / Grok / … (11 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 — 12 runtime ids (11 CLIs + OpenAI-compat), auto-detected, per agent
├─ Session Memory — native --resume + temporal memory + key facts + layered wiki
├─ MCP Server — 247 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.
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):
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.
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:
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.
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.
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.
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
The core gateway/CLI is a Rust binary and needs no Python. The duduclaw package on PyPI is a pure library for import duduclaw (agents / channels / mcp / memory_eval modules) with no command-line entry point, which is why pipx install duduclaw fails by design. If you need it:
pip install duduclaw
Desktop app: just open it — the gateway starts automatically and the wizard appears right inside the app.
npm / build from source:
duduclaw run # start everything (gateway + channels + scheduler + dispatcher)
open http://localhost:18889 # open the dashboard
Either way, the first visit takes you through a wizard: pick an AI backend, create your first agent, then chat with it in the built-in WebChat — no need to run duduclaw onboard from a terminal first. Later, paste a bot token on the Channels page to put the same agent on Telegram, LINE, Discord, and the rest, without restarting.
Useful next steps:
duduclaw agent create # create more agents
duduclaw wizard # industry-template setup
duduclaw status # system health snapshot
duduclaw update # check for and install updates
duduclaw service install # start on boot (launchd / systemd)
Full feature list in docs/features/feature-inventory.md; version history in CHANGELOG.md.
duduclaw onboard # first-run setup; the browser wizard covers this now, use for headless/scripted setups (--yes to skip prompts)
duduclaw run # start everything (gateway + channels + heartbeat + cron + dispatcher)
duduclaw agent # interactive chat; subcommands create / list / inspect / pause / resume / run
duduclaw wizard # industry-template setup
duduclaw status # system health snapshot
duduclaw doctor # diagnostics
duduclaw test <agent> # red-team security test (9 built-in scenarios)
duduclaw eval # run the agent behavior eval suite
duduclaw update # check for and install updates
duduclaw service install # install as a system service; also start / stop / status / logs / uninstall
duduclaw export / import # export / import ~/.duduclaw (portable personal data)
duduclaw migrate from openclaw # painless migration from OpenClaw / Hermes / paperclip (dry-run by default, --apply to write)
duduclaw mcp-server # start the MCP server (stdio JSON-RPC 2.0)
duduclaw http-server # start the MCP HTTP/SSE transport (Bearer auth)
duduclaw acp # start the Agent Client Protocol server (Zed / JetBrains / Neovim agent panels)
duduclaw acp server # start the A2A server (agent-to-agent interop)
duduclaw license # license management (activate / status / redeem / rebind / …)
Run duduclaw --help for the full command list and subcommands; developer topics are in the development guide.
What you install is fully transparent:
@duduclaw/<platform> optionalDependencies). postinstall only checks that the platform package is present (install.js); nothing is downloaded from arbitrary URLs or executedEvery release asset ships with three kinds of verification: a SHA-256 checksum, a cosign keyless signature, and a minisign Ed25519 signature (the built-in auto-updater enforces this one and refuses unsigned or tampered releases):
# SHA-256
shasum -a 256 -c duduclaw-darwin-arm64.tar.gz.sha256
# minisign (the same public key is pinned inside the binary)
minisign -Vm duduclaw-darwin-arm64.tar.gz \
-P RWTh5pOpk0YmdBgm3VyB2bzxFtajNLXr7zFDhbcc75TgM8YfeV+NSzXh
Don't trust prebuilt binaries? Building from source takes three commands. Report vulnerabilities via SECURITY.md.
Why does a "new" package start at version 1.3x? DuDuClaw spent months in a private repo (400+ commits) before going public; the full history is in the git log.
Enterprise personal Google connections (v1.76.0): connect your own account, allow individual AI employees, and withdraw consent in My connections.
docs/guides/app-compat.md)Open core: the core is Apache License 2.0, free to use, modify, and distribute. Commercial add-ons (commercial/, not in this repository), such as the premium industry packs, are closed source and paid; a license key unlocks them. The license-verification client (crates/duduclaw-license) is part of the Apache 2.0 core. See LICENSING.md.
Commercial licenses, enterprise rollout, training and support are provided by our authorised distributor, Future Corp (未來企業股份有限公司). We do not sell directly.
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
{ "mcpServers": { "io.github.zhixuli0406-duduclaw": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "DUDUCLAW_MCP_API_KEY": "<secret>" } } }}Tool
Belum ada daftar tool. Server remote mendapatkannya setelah pemeriksaan kesehatan pertama.
FAQ
Salin konfigurasi stdio untuk Cursor, Claude Desktop, Claude Code, atau VS Code di halaman ini. Konfigurasi ini memakai instalasi dari penerbit, bukan proxy PlugMCP.
Penerbit mencantumkan variabel lingkungan berikut: DUDUCLAW_MCP_API_KEY.
DuDuClaw berjalan secara lokal melalui stdio.
Terakhir diperiksa 2026-11-15. Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.