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

tf_geometric — Fri, 13 Feb 2026 16:23:03 +0000

⚡ MMClaw

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

pip install mmclaw

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.

Use Cases

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

Chat & Automate — Send messages via Telegram, WhatsApp, or Feishu 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.
Custom Skills — Extend your agent with your own skills; teach it new commands, workflows, and domain knowledge to do exactly what you need.
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.
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.

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

DEV Community: tf_geometric