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 PlumoAI · MCP Server · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is plumoai safe to install? View the security audit →
🚀 PlumoAI - We are in Beta. If you find any issues during setup then Join our Discord Live Support call on https://discord.gg/WarY2yWZkg 🌍 World's First 100% FREE Autonomous AI Employee Platform OR you can say AI Employees OS (Operating System) 🤖 Hire AI Employees In Minutes. Works like human PlumoAI is the world's first platform designed to run Autonomous AI Employees. Companies do not hire people for their biology. They hire employees to own work and deliver outcomes. PlumoAI introduces a new system where AI Employees operate as real organizational units of execution. With PlumoAI you can: ✨ Create unlimited AI Employees ✨ Run them on your own infrastructure ✨ Assign real responsibilities ✨ Connect tools using AI Agents ✨ Manage work using a built in project management system 🆓 Completely Free Self Hosted PlumoAI can be deployed on your own infrastructure an
| Stars | 67 |
| Forks | 24 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 58.9323182302853/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-11 |
| Created | 2026-03-06 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~16k |
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plumoai is World's First Autonomous Open-source Pretrained AI Employees Platform. It is categorized as a MCP Server with 67 GitHub stars.
plumoai is primarily written in Python. It covers topics such as ai, ai-agents, ai-employees.
You can find installation instructions and usage details in the plumoai GitHub repository at github.com/PlumoAI/plumoai. The project has 67 stars and 24 forks, indicating an active community.
The top alternatives to plumoai on Agent Skills Hub include ai-agent-automation, mcp, claude-emporium. 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: