Memory as infrastructure
Memory should be versioned, measured, compressed, and queried through explicit retrieval contracts.
Memory layers for AI systems: semantic recall, episodic traces, compression, persistence, and retrieval evaluation.
Memory should be versioned, measured, compressed, and queried through explicit retrieval contracts.
Recall quality needs stable test sets, not anecdotal prompts. The same applies to compression and summarization.
Episodic memory, semantic retrieval, compression, and replayable context for agents that need continuity.
Embedding pipelines, hybrid search, metadata filters, reranking, and stable eval sets for RAG systems.
Shipped systems where this concept runs in production.