Databricks launches MemCurrent persistent memory for production agents
Persistent memory is becoming the differentiator between demo agents and ones that survive enterprise use, and the claimed 31% token reduction shows memory can cut costs at the same time as lifting accuracy. Teams building multi-session agents on Databricks can adopt it directly via Agent Bricks Memory, while everyone else gets a design blueprint for the plugins-plus-offline-consolidation pattern. The closest comparison is homegrown vector-store memory stacks, which typically lack the background consolidation step.
