Memory systems give agents the ability to persist and retrieve state beyond a single context window. A multi-tiered architecture typically includes working memory for active tasks, episodic memory for session history, and semantic memory for long-term knowledge. Without memory, agents suffer from amnesia — forcing users to repeatedly explain context and endure the same mistakes. Strong modern memory systems add lifecycle automation around each turn: pre-fetch relevant context before reasoning, post-turn capture durable decisions after action, and pre-compress state before context truncation.
clawmemmem0mcpmemorykotanaagent