by zilliztech · Claude Skill · ★ 2.8k
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Featured in: Knowledge Base & RAG
/plugin marketplace add zilliztech/memsearch
/plugin install memsearchTaken 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 | 2,824 |
| Forks | 278 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 259 |
| Last Updated | 2026-11-06 |
| Created | 2026-02-09 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
memsearch Cross-platform semantic memory for AI coding agents. <a href="https://github.com/zilliztech/memse
Looking for a memsearch alternative? If you're comparing memsearch with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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: