Introducing Agent Memory on Databricks

Agent Memory is now in Beta on Agent Bricks, giving agents a Lakebase-backed store for facts, preferences, and workflows, built on Databricks Research's MemCurrent architecture, which combines plugins, on-demand tools, and an offline "dreaming" pipeline. In Databricks' internal benchmarks on enterprise tasks, it tripled agent pass rate while using 31% fewer tokens, and the Agent Bricks CLI can deploy an agent with memory and sessions in minutes.