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Agent memory pipelines distil conversations into agent memory (Beta)

From Databricks release notes (AWS)

A memory pipeline links a session store to a memory store. Each run uses an LLM to extract durable facts, preferences and decisions from stored conversations into memory entries that an agent can recall later. Pipelines run on demand or about every 24 hours, and the feature is in Beta.

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