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Agent Memoryยท8 min read

Giving Your Agent Long-Term Memory

A practical guide to the three memory layers and how to add them without over-engineering.

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Giving Your Agent Long-Term Memory

An agent with no memory helps once. An agent with the right memory gets better every week.

The three layers, and when to add each

  • Working memory โ€” the current conversation. You already have it; keep it lean.
  • Semantic memory โ€” durable facts ("this user prefers concise replies"). Add this first; a single vector store covers most needs.
  • Episodic memory โ€” specific past events ("last Tuesday they asked about refunds"). Add only when a real task needs recall of *when*.

A minimal setup that works

  1. Summarize each session into a few durable facts.
  2. Store those facts with embeddings.
  3. On each new task, retrieve the most relevant facts and prepend them.

The traps

  • Storing everything โ€” memory becomes noise; store distilled facts, not transcripts.
  • Never forgetting โ€” let stale or contradicted facts expire.
  • No retrieval test โ€” if you can't see what was recalled, you can't debug it.

Start with semantic-only. Most teams never need more.

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