Why Similarity Isn’t Enough for Memory

Vector databases alone are insufficient for AI agent memory because embeddings measure semantic similarity, not temporal truth or context evolution. Agents need both short-term (session-based) and long-term memory (semantic, episodic, procedural) with conflict resolution and temporal awareness. Building this requires Show more