Databricks launches Agent Memory Beta, boosting agent quality through the MemCurrent architecture.
Databricks launches Agent Memory Beta on the Agent Bricks platform. By storing key facts, preferences, and workflows, it improves agent quality while reducing costs and latency. The solution is powered by Lakebase and built on Databricks' MemCurrent memory research.
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