Memory

• Memory — What an agent carries between steps and across sessions — the running context, notes it writes down, and facts it pulls from a store — and how to manage a context window that is always too small.
• Retrieval (RAG) — Fetch the documents relevant to a question and put them in the model's context before it answers, so it works from your actual data and can cite sources instead of guessing from training.

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