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A four-layer knowledge system that gives Claude persistent, queryable memory across sessions. Runs entirely on-host — Qdrant + llama.cpp + Python. No cloud, no API keys, no per-token cost on the embedding or memory layer.
This write-up walks through what it is, why it exists, the architecture, the phased build (with the bugs we hit and what they taught us), measured results, and how to set up your own.
Karpathy-style compressed spec. Read once, execute against. Deterministic by default; testable by construction.
Tiered knowledge graph where JSON is truth, wiki is a pure function of JSON, rollups splice mechanically, retrieval traverses by rule, and an Opus-led audit keeps coherence as the graph grows. Every non-deterministic surface (LLM calls) is bounded, logged, and replayable. Tier slots exist from day one; deployments activate slots, never add them. Solo and enterprise run the same architecture at different activation levels.