by Patdolitse · MCP Server · ★ 162
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install piia-engram && engram setup
pip install piia-engramTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 162 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 68/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-22 |
| Created | 2026-05-18 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~25k |
Piia Engram Local-first AI memory you can see, edit, and override — portable across your MCP coding tools. Tell AI once who you are, how you work, and what "good" means. Claude Code, Codex, Cursor, Windsurf, and other MCP-compatible tools can start from the same approved context — local files you own, no cloud account, no hidden memory you cannot inspect.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: