Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
KAG
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
KAG
Best first install candidate based on install readiness and adoption.
Freshest repo
KAG
Most recent maintenance signal among this shortlist.
| Signal | KAG KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model. |
|---|---|
| Quality | 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. |
| Adoption | 8.9K stars 0 installs |
| Freshness | Jan 28, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Knowledge Graph, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add OpenSPG/KAG |