Why this fit
Individuals and teams organising daily work, particularly RAG and vector search, AI agents that connect over MCP — source available on GitHub.
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Catalogue record
github.com
🐍 🏠 🍎 🪟 🐧 - Semantic knowledge graph for Obsidian. Three modes (pure graph / semantic classification / strict hierarchy), local embeddings,...
Field notes
🐍 🏠 🍎 🪟 🐧 - Semantic knowledge graph for Obsidian. Three modes (pure graph / semantic classification / strict hierarchy), local embeddings, sign classification via cosine similarity to user-defined cores, bottom-up coremix aggregation, semantic bridge discovery, and drift detection. pip install nouz-mcp
Best for
Individuals and teams organising daily work, particularly RAG and vector search, AI agents that connect over MCP — source available on GitHub.
Known limitations
Heavy engineering workloads that need infrastructure-level control.
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Evidence summary
Why this fit
Individuals and teams organising daily work, particularly RAG and vector search, AI agents that connect over MCP — source available on GitHub.
Known limitations
Heavy engineering workloads that need infrastructure-level control.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / KVANTRA-dev/NOUZ-MCP
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