In short
Mechanisms (conversation buffers, summarized history, vector-stored long-term memory) that let an agent retain context across a session or across sessions entirely.
How to learn this
- 1Implement short-term memory (recent conversation) and compare it to a summarized-memory approach.
- 2Add a simple long-term memory backed by a vector store for facts across sessions.
- 3Learn the trade-off between memory size, cost, and relevance decay over time.
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