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Verified 2026-08-10

Memory for agents

Agents need memory beyond a single message: the current chat (short-term), and sometimes durable stores (preferences, project files, retrieved docs).

What it is

Agents need memory beyond a single message: the current chat (short-term), and sometimes durable stores (preferences, project files, retrieved docs).

Why it matters

Without memory design, agents repeat questions, forget constraints, or “remember” the wrong things. With careless memory, they store secrets they should not.

How it works (plain)

  • Context window: working memory for this run
  • Summaries: compressed older chat
  • RAG/files: look up facts when needed
  • User profile stores: explicit preferences (opt-in)

Write policies for what may be stored and for how long.

Everyday example

“Remember my preferred citation style for this project” (explicit) vs silently storing pasting of an API key (bad).

Try it

Draft a one-page memory policy: store / never store / ask first.

Myths

⚠️ Myth: Long context replaces a database.
✓ Reality: Context is finite and expensive; stores + retrieval scale better for corpora.
⚠️ Myth: More memory is always smarter.
✓ Reality: Stale or wrong memories poison future actions.

Sources