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 hyperb1iss · MCP Server · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sibyl safe to install? View the security audit →
One CLI. One graph. Every AI tool you use, sharing memory. ✦ Cross-agent memory for AI coding tools · self-hostable · yours to keep ✦
| Stars | 61 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71.3912036004924/100 |
| Open Issues | 12 |
| Last Updated | 2026-09-20 |
| Created | 2025-12-21 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~19k |
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sibyl is Collective intelligence runtime for AI agents. Knowledge graph + persistent memory.. It is categorized as a MCP Server with 61 GitHub stars.
sibyl is primarily written in Python. It covers topics such as agent-skills, ai-agents, ai-memory.
You can find installation instructions and usage details in the sibyl GitHub repository at github.com/hyperb1iss/sibyl. The project has 61 stars and 9 forks, indicating an active community.
sibyl is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to sibyl on Agent Skills Hub include omega-memory, flow, trekker. 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: