Reduce cost and drift with out-of-band memory optimization (beta)

A new MemoryOptimizationStrategy framework and APIs allow you to summarize and optimize memories outside of agent runs. By decoupling memory maintenance from inference, you can keep context high-signal while reducing runtime tokens and improving decision quality at scale.

Details

Schedule or trigger memory compaction and summarization independently of agent runs
Keep knowledge current and concise to improve downstream model performance
Works without changes to agent logic; designed for scale and governance

Who this is for: Production teams with large or fast-growing memory stores seeking lower costs and tighter control.