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 willdady · MCP Server · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is platypus safe to install? View the security audit →
Platypus A modern, multi-tenant platform for building and managing AI Agents. Platypus is an open-source, full-stack application designed to help you build AI agents. Built with a focus on extensibility and modern web standards, Platypus allows you to create agents that can reason, use tools, and interact with the world. 📚 Full documentation lives at docs.platypus.chat. ✨ Key Features 🏢 Multi-Tenancy: Built-in support for Organizations and Workspaces to isolate data and manage teams. 🤖 Agentic Workflows: Create sophisticated agents with custom system prompts, model configurations, and tool assignments. ✨ Skills: Create reusable instruction sets that agents can dynamically load on-demand to handle specialized tasks. 🧩 Sub-Agents: Agents can delegate specialized tasks to other agents, enabling hiera
| Stars | 75 |
| Forks | 24 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.5183466358796/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-22 |
| Created | 2025-06-15 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~15k |
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platypus is Self-hosted AI Agents for your whole team — on your infrastructure, your models, around the clock.. It is categorized as a MCP Server with 75 GitHub stars.
platypus is primarily written in TypeScript. It covers topics such as agent, agentic-ai, ai.
You can find installation instructions and usage details in the platypus GitHub repository at github.com/willdady/platypus. The project has 75 stars and 24 forks, indicating an active community.
platypus is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to platypus on Agent Skills Hub include Hermes-Studio, c4-genai-suite, oreilly-ai-agents. 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: