knowledge-graph-system
Reduces hallucination risk and tribal knowledge loss by grounding code decisions in weighted, traceable concepts rather than unverified claims.
Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.
- Extract key concepts from technical documentation and measure how well they connect.
- Find conflicting interpretations in codebase discussions and trace disagreements to sources.
- Build a weighted map of architecture decisions and their supporting evidence.
Reduces hallucination risk and tribal knowledge loss by grounding code decisions in weighted, traceable concepts rather than unverified claims. Enables teams to measure confidence in architectural choices and identify knowledge gaps.
Engineering teams building complex systems who need auditable decision rationale and cross-team knowledge alignment.
https://github.com/aaronsb/knowledge-graph-system
By aaronsb
How to Get It
claude plugins install aaronsb/knowledge-graph-system
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me extract key concepts from technical documentation and measure how well they connect
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News, Reddit
- 🧠 [MASTER THREAD] Advanced Memory Systems: state.db & Knowledge Graphs — Reddit · 27 pts
- Ontop – A Virtual Knowledge Graph System — Hacker News · 21 pts
2 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 1d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 1d ago; license Apache-2.0.