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 iii-experimental · MCP Server · ★ 163
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentos safe to install? View the security audit →
website · architecture · quickstart · workers § 01 · Thesis AgentOS isn't another agent framework. It's what's left when the runtime becomes someone else's problem. 65 narrow workers — one Rust binary per domain — register Functions and Triggers on the iii engine. Every capability is one shape: . The engine carries r
| Stars | 163 |
| Forks | 24 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.2967660881511/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-07 |
| Created | 2026-03-01 |
| Platforms | mcp, node |
| Est. Tokens | ~94k |
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The agent OS that evolves itself. 51 workers, 18 security layers, self-improving functions. Built on iii-engin
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agentos is The agent OS that evolves itself. 51 workers, 18 security layers, self-improving functions. Built on iii-engine.. It is categorized as a MCP Server with 163 GitHub stars.
agentos is primarily written in TypeScript. It covers topics such as agent-framework, ai-agent, iii-engine.
You can find installation instructions and usage details in the agentos GitHub repository at github.com/iii-experimental/agentos. The project has 163 stars and 24 forks, indicating an active community.
agentos is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agentos on Agent Skills Hub include agentos, awesome-agent-evolution, dexto. 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: