Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Meilisearch is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Meilisearch
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Meilisearch
Best first install candidate based on install readiness and adoption.
Freshest repo
Cognee
Most recent maintenance signal among this shortlist.
| Signal | Mentedb A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks. | Cognee Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine. | Meilisearch A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. | Memvid Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory. |
|---|---|---|---|---|
| Quality | 71/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 100 stars 0 installs | 27K stars 0 installs | 58K stars 0 installs | 16K stars 0 installs |
| Freshness | May 13, 2026 | Jul 3, 2026 | Jul 2, 2026 | May 27, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Rust, RAG, Claude Code | Python, Vector Search, Claude Code | Rust, Semantic Search, Claude Code | Rust, Semantic Search, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add nambok/mentedb | $ npx skills add topoteretes/cognee | $ npx skills add meilisearch/meilisearch | $ npx skills add memvid/memvid |