No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by CrawlScript · Agent Tool · ★ 147
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MMClaw safe to install? View the security audit →
⚡ MMClaw The Ultra-Lightweight, Pure Python Kernel for Multimodal AI Agents. 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. 🆕 What's New WeChat (微信) connector — Pure Python, zero extra dependencies. Bind your agent to WeChat in one second: run , select WeChat mode, and scan the QR code. That's it. No Node.js, no webhooks, no app registration. Your agent is live on WeChat instantly. <img src="https://raw.githubusercontent.com/CrawlScript/MMClaw/main/figs/MMClaw-WeChat.jpg" width="
| Stars | 147 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 59.9643972640819/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-11 |
| Created | 2026-02-07 |
| Platforms | python |
| Est. Tokens | ~16k |
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MMClaw is Ultra-Lightweight, Pure Python Multimodal Agent.. It is categorized as a Agent Tool with 147 GitHub stars.
MMClaw is primarily written in Python. It covers topics such as agent, agents, ai.
You can find installation instructions and usage details in the MMClaw GitHub repository at github.com/CrawlScript/MMClaw. The project has 147 stars and 11 forks, indicating an active community.
MMClaw is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to MMClaw on Agent Skills Hub include OpenAEON, frona, Awesome-AI-For-Security. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: