Dreaming organizes what your agents learn between sessions.

It reviews session history and memory stores, identifies recurring patterns, and rewrites memory so agents carry forward higher-signal context over time.

The important shift here is operational.

Teams are starting to manage AI memory like a maintained system instead of a pile of disconnected chats.