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 Simpleyyt · Agent Tool · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-manus safe to install? View the security audit →
AI Manus English Documents   AI Manus is a general-purpose AI Agent system that supports running various tools and operations in a sandbox environment. Enjoy your own agent with AI Manus! 👏 Join QQ Group(1005477581) ❤️ Like AI Manus? Give it a star 🌟 or Sponsor to support the development! 🚀 Try a Demo 📝 Blog: Rebuild Manus with WebUI and Sandbox Demos Basic Features https://github.com/user-attachments/assets/37060a09-c647-4bcb-920c-959f7fa73ebe Browser Use Task: Latest LLM papers Code Use
| Stars | 1,627 |
| Forks | 406 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.6251775148074/100 |
| Open Issues | 66 |
| Last Updated | 2026-09-20 |
| Created | 2025-04-26 |
| Platforms | python |
| Est. Tokens | ~16k |
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ai-manus is AI Manus is a general-purpose AI Agent system that supports running various tools and operations in a sandbox environment.. It is categorized as a Agent Tool with 1.6k GitHub stars.
ai-manus is primarily written in Python.
You can find installation instructions and usage details in the ai-manus GitHub repository at github.com/Simpleyyt/ai-manus. The project has 1.6k stars and 406 forks, indicating an active community.
ai-manus is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-manus on Agent Skills Hub include notebooklm-skill, agent-skills, excalidraw-diagram-skill. 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: