Teams say they want agent memory, but usually mean three different things. This guide separates memory from retrieval and workflow state, then shows what is actually worth storing.
Too many teams reach for retrieval before they understand the real problem. This practitioner-focused guide explains when an AI agent should search, when it should rely on memory, and when it should stop and ask a clarifying question instead.
A practical playbook for keeping agent knowledge current with source SLAs, expiration rules, and retrieval pipelines that age gracefully.
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