Agentic AI Memory Becomes a Core Architectural Layer

AI memory is evolving from simple context windows to a first-class architectural layer with episodic, semantic, and procedural types. The retrieval stack splits between conversation context and accumulated knowledge, with graph-augmented approaches outperforming pure vector search on temporal reasoning. Persistent memory introduces a new attack surface—memory poisoning—that persists beyond sessions and requires new defenses.