Dev Team Finalizes Knowledge and Memory Management Architecture Directions 1-3

A software development team has completed the finalization record for the first three directions of their knowledge and memory management subsystem, covering ingestion, storage, retrieval, and context integration. The architecture uses a partitioned SQLite-backed document store, a vector index abstracted over Pinecone and a local FAISS fallback, and a structured memory buffer combining both layers behind a single KnowledgeGraph interface. A key design choice separates storage from indexing entirely, with embeddings precomputed during ingestion and cached to reduce runtime latency. Direction 3 introduces context handles — lightweight JSON-serialized objects that track a query's knowledge window and a cursor marking which document chunks have already been consumed by the model. This approach eliminates redundant re-retrieval within a session by resuming from the cursor when an existing handle is found in the in-process LRU cache.