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 IvenKooLab · MCP Server · ★ 98
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is loci safe to install? View the security audit →
loci 🧠 Two thousand years ago, orators stored their speeches in the rooms of a palace and walked through them to remember. loci does the same for your files. Loci is the method behind every memory palace: place knowledge in locations, recall it by walking the path. A queryable "second brain" for the project
| Stars | 98 |
| Forks | 0 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.0011071291395/100 |
| Last Updated | 2026-09-26 |
| Created | 2026-09-03 |
| Platforms | mcp, python |
| Est. Tokens | ~18k |
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loci is A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use it. ~300 lines, no LangChain.. It is categorized as a MCP Server with 98 GitHub stars.
loci is primarily written in Python. It covers topics such as ai-agents, bm25, chromadb.
You can find installation instructions and usage details in the loci GitHub repository at github.com/IvenKooLab/loci. The project has 98 stars and 0 forks, indicating an active community.
loci is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to loci on Agent Skills Hub include ctxvault, gno, ChatCrystal. 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: