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 WingedGuardian · Agent Tool · ★ 96
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is GENesis-AGI safe to install? View the security audit →
Contents Genesis in 30 seconds What this is Getting started How it thinks Memory Learning [Autonomy](#earned-a
| Stars | 96 |
| Forks | 38 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.4543130373343/100 |
| Open Issues | 798 |
| Last Updated | 2026-10-06 |
| Created | 2026-03-21 |
| Platforms | claude-code, python |
| Est. Tokens | ~23k |
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GENesis-AGI is 'Personal AGI' that thinks on its own. Autonomous cognitive cycle, earned autonomy, 60+ tools. It decides what to do without being told.. It is categorized as a Agent Tool with 96 GitHub stars.
GENesis-AGI is primarily written in Python. It covers topics such as agentic-ai, ai-agent, autonomous-agent.
You can find installation instructions and usage details in the GENesis-AGI GitHub repository at github.com/WingedGuardian/GENesis-AGI. The project has 96 stars and 38 forks, indicating an active community.
GENesis-AGI is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to GENesis-AGI on Agent Skills Hub include agent-second-brain, intellegix-code-agent-toolkit, claude-reflect-system. 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: