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 agynio · MCP Server · ★ 228
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is platform safe to install? View the security audit →
Agyn Ship AI agents to your company. Safely. You built the agent. Now how do you let the rest of the company use it — without exposing secrets, blowing budgets, or losing control? Agyn is an open-source, Kubernetes-native platform that moves agents from laptops to company infrastructure with the controls enterprises need. Why Agyn Get running in 15 minutes Open the console. Create an org. Deploy your first agent. Want a ready-made fleet to play with? Apply [](https://gi
| Stars | 228 |
| Forks | 7 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 67.0519169347483/100 |
| Last Updated | 2026-08-21 |
| Created | 2026-05-05 |
| Platforms | claude-code, cli, codex, k8s, mcp, node |
| Est. Tokens | ~15k |
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platform is Agyn is an open-source Kubernetes-native runtime that moves AI agents like Claude Code and Codex from laptops to company infrastructure with the controls enterprises need.. It is categorized as a MCP Server with 228 GitHub stars.
platform is primarily written in TypeScript. It covers topics such as agent-infrastructure, agent-runtime, agents.
You can find installation instructions and usage details in the platform GitHub repository at github.com/agynio/platform. The project has 228 stars and 7 forks, indicating an active community.
platform is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to platform on Agent Skills Hub include runtm, idun-agent-platform, preloop. 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: