Summary
Databricks announced Agent Memory, a new tool for Agent Bricks that allows AI agents to store and recall past conversations and user data using lakebase architecture. By connecting session stores and memory stores through automated memory pipelines, agents can retain context across multiple sessions to improve task performance and reduce token usage.
Summary generated by brickster.ai from the video transcript.
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