OpenSPG/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.
9.2k
Stars
720
Forks
61.6
Radar Score
Rising
Momentum
Scoring Breakdown
Impact89.9
Velocity45.3
Health39.1
Growth Metrics
7-Day Stars
+14
30-Day Stars
+75
Acceleration
0.80x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
Popular Alternatives & Competitors
Top projects in the same category (RAG) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
81%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
61.6
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Maintenance cadence: Last push 287 days ago.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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