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[ARTICLE Β· art-27220] src=dev.to β†— pub= topic=artificial-intelligence verified=true sentiment=Β· neutral

Everyone says their agent "has memory"

A developer argues that the term 'memory' in AI agents is used ambiguously, conflating distinct mechanisms like conversation history, vector databases, user profiles, and scratchpads. The developer calls for clearer definitions to address different failure modes and design requirements.

read1 min publishedJun 14, 2026

Everyone uses the word "memory" but I feel like they all mean something different by it.

For some people it's conversation history getting stuffed back into the context window. For others it's a vector database getting queried for relevant chunks or a profile of the user that updates over time or a scratchpad the agent writes to mid-task and forgets the second the task ends. Calling all of that "memory" hides the fact that these fail in different ways and probably need different designs entirely.

So when you say your agent "has memory," what are you actually expecting? Trying to understand your expectations and what's working / not working for you.

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