Agent memory is the set of mechanisms that let an AI agent remember information beyond a single conversation: past decisions, user preferences, learned facts, and progress on long tasks. Short-term memory lives in the model's context window, while long-term memory is typically stored in files or vector databases and retrieved when relevant. It is what allows a customer-service agent to recall that a client in Fès already reported a delivery issue last month and respond accordingly.