Memory-Augmented AI

Memory can include conversation history, user preferences, prior actions, summaries, or external records stored in databases. Agent systems use memory to maintain continuity, personalize behavior, and reason across longer workflows while controlling what information should persist. Understanding it helps teams improve output quality, manage latency and cost, and decide how much information or control should sit outside the model itself.