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
Anything Llm is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Anything Llm
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Anything Llm
Best first install candidate based on install readiness and adoption.
Freshest repo
Cognee
Most recent maintenance signal among this shortlist.
| Signal | Dingo A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency. | Qdrant Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ | 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. | Anything Llm Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience |
|---|---|---|---|---|
| Quality | 98/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.7K stars Verified outcomes are shown on each skill page | 33K stars Verified outcomes are shown on each skill page | 30K stars Verified outcomes are shown on each skill page | 63K stars Verified outcomes are shown on each skill page |
| Freshness | May 25, 2026 | Jul 18, 2026 | Aug 14, 2026 | Jul 13, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Java, Vector Search, Claude Code | Rust, Vector Search, Claude Code | Python, Vector Search, Claude Code | JavaScript, Vector Search, Claude Code |
| Warnings | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | 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 | 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 | 5 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add dingodb/dingo | $ npx skills add qdrant/qdrant | $ npx skills add topoteretes/cognee | $ npx skills add Mintplex-Labs/anything-llm |