mmclaw 0.0.32

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

🐈 MMClaw

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

Home: 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.

---

🌟 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.
• Multi-Channel Interaction: Built-in support for interacting with your agent via Telegram, WhatsApp, and more—all handled through pure Python integrations.

🚀 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.
• 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.

📂 Project Structure

mmclaw/
├── kernel/          # Core agent loop & state logic
├── connectors/      # Telegram, WhatsApp, and Web UI bridges
├── providers/       # LLM connectors (OpenAI, Anthropic, etc.)
└── tools/           # Extensible toolset (Search, Code Exec, etc.)

---

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