Structure agent memory as three tiers with an episodic→semantic consolidation pipeline

AppScale Blog·medium signal

The standard 2026 agent-memory pattern separates episodic (specific past interactions), semantic (stable facts and preferences), and procedural (learned behaviors and rules) memory, rather than dumping everything into one store. The key engineering move is a consolidation pipeline that distills and decontextualizes recurring facts from episodic logs into durable semantic memory, so the agent's reusable knowledge sharpens over time instead of bloating. Pair it with parallel retrieval — semantic similarity, keyword, and entity matching fused together — plus provenance and right-to-be-forgotten controls for production hygiene.