The definitive guide to AI agent memory: concepts, architecture, tools, and implementation patterns.
Agent memory is a persistent layer that stores decisions, constraints, preferences, and knowledge across sessions. It gives AI agents the ability to learn and adapt over time.
The best memory systems use a layered approach: observations (raw data), beliefs (derived knowledge), and a knowledge graph (connections between memories).
Compare Squish, Mem0, Zep, and Engram. Learn which tool fits your stack, budget, and privacy requirements.