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What is agent memory?

Agent memory is the information an AI agent can carry forward while working. It may be short-term task context, saved user preferences, past events, or searchable knowledge, and each kind needs different retention and privacy rules.

For teams deciding what an agent should remember and what it should forget. · Reviewed 2026-09-29

Memory is not one thing

KindExampleMain risk
Working contextThe current task and tool resultsThe context window fills or becomes noisy
Conversation historyEarlier turns in a support chatOld or incorrect assumptions persist
Saved memoryA user’s preferred formatA private fact is stored without clear consent
External knowledgeA searchable policy or document setStale or unauthorized data is retrieved

A real example

An agent helping a content team might remember that a client prefers short LinkedIn posts during the current project. It should not permanently remember a private customer detail just because that detail appeared in one transcript. Good memory has a scope, an owner, a reason to exist, and a way for someone to inspect or delete it.

What memory should not do

Memory should not quietly become a second database of everything a user has ever said. Store only what improves a repeated task, make its source and age visible, and give users a way to correct it. Retrieval from approved documents is often safer than unconstrained personal memory.

The design question

Before adding memory, ask whether the same benefit can come from an explicit project brief or saved workflow. If a person cannot understand why a fact was remembered or how it changes the next action, the feature is probably storing too much.

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