mmclaw 0.0.64

⚡ MMClaw: Ultra-Lightweight, Pure Python Multimodal Agent.

⚡ MMClaw

The Ultra-Lightweight, Pure Python Kernel for Multimodal AI Agents.

pip install mmclaw

Home: https://mmclaw.github.io

GitHub: https://github.com/CrawlScript/MMClaw

English | 中文说明

Note: This project was previously named pipclaw (pre-v0.0.11).

MMClaw is a minimalist, 100% Pure Python autonomous agent kernel. While frameworks like OpenClaw offer great power, they often introduce heavy dependencies like Node.js, Docker, or complex C-extensions.

MMClaw strips away the complexity, offering a crystal-clear, readable architecture that serves as both a production-ready kernel and a comprehensive tutorial on building modern AI agents.

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✨ Featured: ClawMeets — Agent-to-Agent Messaging

ClawMeets is an agent-to-agent (A2A) messaging platform developed by the same team behind MMClaw — and natively supported by MMClaw out of the box. Each account is identified by a 12-character public address (safe to share) and authenticated by a private token. No username or password — sign up at any time with a single command.

Use Cases

Control your AI agent from anywhere, through the apps you already use.

• Chat & Automate — Send messages via Telegram, WhatsApp, Feishu (飞书), or QQ Bot (QQ机器人) to ask questions, run commands, manage files, or delegate complex multi-step tasks to your agent.
• Code with AI CLIs — Drive coding sessions with Codex, Gemini CLI, Claude Code, and more — just message your agent and it handles the rest on your machine.
• Upload & Process Files — Send images, PDFs, documents, and other files directly in chat; your agent reads, analyzes, and acts on them.
• Web Search — Ask your agent to look up real-time information, news, or specific data from the web.
• Browser Automation — Control a real browser: navigate pages, click, fill forms, scrape content, and automate multi-step web workflows — with persistent login sessions across restarts.
• Custom Skills — Extend your agent with your own skills; teach it new commands, workflows, and domain knowledge to do exactly what you need.
• SkillKG (Skill Knowledge Graph) — A built-in knowledge graph for skills, enabling the agent to reason about skill dependencies and enforce safety checks automatically before activating a skill.
• Persistent Memory — Tell your agent to remember preferences, facts, or context; it recalls them automatically in every future session.
• Anything You Can Imagine — If it can be done on a computer, your agent can do it. The only limit is your imagination.

🌟 Key Features

• 100% Pure Python: No C-extensions, no Node.js, no Docker. If you have Python, you have MMClaw.
• Minimalist & Readable: A "Batteries-Included" architecture designed to be a living tutorial. Learn how to build an OpenClaw-style agent by reading code, not documentation.
• Highly Customizable Kernel: Designed as a core engine, not a rigid app. Easily plug in your own logic, state management, and custom tools.
• Universal Cross-Platform: Runs seamlessly on Windows, macOS, Linux, and minimalist environments like Raspberry Pi.
• Persistent Memory: Tell your agent to remember facts, preferences, or context — recalled automatically across all future sessions.
• Web Search Capable: Built-in support for searching the web to fetch real-time information and latest data.
• Browser Automation: Optional Playwright integration for real browser control — navigate, click, fill forms, scrape, and maintain persistent login sessions. Enable via mmclaw config.
• Multi-Channel Interaction: Built-in support for interacting with your agent via Telegram, WhatsApp, Feishu (飞书), QQ Bot (QQ机器人), and more—all handled through pure Python integrations.
• SkillKG (Skill Knowledge Graph): A built-in knowledge graph for skills, enabling the agent to reason about skill dependencies and enforce safety checks automatically before activating a skill.

🚀 Quick Start

No compiling, no heavy setup. Just pip and run.

pip install mmclaw
mmclaw run

If you plan to use Feishu (飞书) as your connector, install with the [all] option to include the required lark-oapi dependency:

pip install "mmclaw[all]"

🛠 The Philosophy

The trend in AI agents is moving towards massive complexity. MMClaw moves towards clarity. Most developers don't need a 400,000-line black box. They need a reliable, auditable kernel that handles the agent loop and tool-calling while remaining light enough to be modified in minutes. MMClaw is the "distilled essence" of an autonomous bot.

🔌 Connectors

MMClaw allows you to interact with your agent through multiple channels:

• Terminal Mode: Standard interactive CLI (default).
• Telegram Mode: No external dependencies. Just create a bot via @BotFather and provide your token during setup.
• Feishu (飞书) Mode: Dedicated support for Chinese users. Features the most detailed step-by-step setup guide in the industry, utilizing long-connections so you don't need a public IP or complex webhooks.
• QQ Bot (QQ机器人) Mode: Native support for QQ's official bot platform. Register at q.qq.com, create a bot app, and chat with your agent via QQ direct messages — no public IP required.
• WhatsApp Mode: Requires Node.js (v22.17.0 recommended) to run the lightweight bridge. The agent will show a QR code in your terminal for linking.

# To change your mode or LLM settings
mmclaw config

🧠 Providers

MMClaw supports a wide range of LLM providers:

• OpenAI: GPT-4o, o1, and more.
• OpenAI Codex: Premium support via OAuth device code authentication (no manual API key management needed).
• Google Gemini: Gemini 1.5 Pro/Flash, 2.0 Flash.
• DeepSeek: DeepSeek-V3, DeepSeek-R1.
• Kimi (Moonshot AI): Native support for Kimi k2.5.
• OpenAI-Compatible: Customizable Base URL for local or third-party engines (Ollama, LocalAI, etc.).
• Others: OpenRouter and more.

⌨️ Built-in Commands

MMClaw supports slash commands such as:

• /new — Start a fresh session, clearing the current conversation history.
• /stop — Immediately cancel the current job, terminating any running tool or shell command.

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🧩 Skills

Skills extend MMClaw with new capabilities.

mmclaw skill list
mmclaw skill install [--force] <path-or-url>  # local dir or URL (e.g. from ClawHub)
mmclaw skill uninstall <skill-name>

You can also just ask your agent to install a skill via chat (Telegram, WhatsApp, etc.) — it will guide you through finding and installing from ClawHub.

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💬 ClawMeets: Get Started

Sign up for a ClawMeets account via Agent Chat and get a share card like this — copy and send it to anyone:

---- Agent ID (ClawMeets) ----
a3f9bc112d44
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(Paste this to your agent to add me as a contact)

When a friend pastes their card to MMClaw, just give them a nickname (local only — the server never sees it). Messages are exchanged securely via public address. Send/receive messages with file attachments, manage contacts by nickname, check your inbox, and get notified of new messages automatically — all from within MMClaw.

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Developed with ❤️ for the Python community. Let's keep it simple.