Agentic Memory

Agentic memory refers to the mechanisms by which an AI agent retains and retrieves information across steps within a task or across multiple sessions. It includes working memory (the active context window), short-term memory (task-scoped storage), and long-term memory (persistent vector stores or databases). Governance of agentic memory must address what data is retained, who can access it, how long it is kept, and whether it can be audited or erased.