Science fiction has long imagined machines that think, learn, and perhaps even dream. Anthropic is now exploring an idea that sounds straight out of that world. Its latest research examines how Claude can revisit past experiences during periods of inactivity, correct faulty memories, and organize what it has learned for future conversations. Anthropic calls this process “dreaming,” although it has little to do with the dreams humans experience.

The approach allows Claude to review previous interactions when it has idle time. It can identify incorrect information, refine existing notes, and build structured knowledge that future sessions can access. The process draws inspiration from how human brains consolidate memories during sleep.

Anthropic’s research examines several components of this system. Its experiments suggest that selective memory and regular maintenance can improve performance on complex, long-running tasks.

Claude can save useful information in memory files while completing tasks. However, deciding what deserves storage presents a challenge. Recording every interaction creates clutter, while overlooking important details can leave future sessions without useful context.

Anthropic tested this problem using Pokémon Red, where Claude had to navigate the game’s world and earn badges. The researchers compared two models after approximately 10,000 gameplay steps.

Memory is what allows Claude to learn from experience. In a new Engineering Blog post, we share how “dreaming” helps Claude organize what it’s learned, correct its mistakes, and find what it needs more easily the next time. https://t.co/uUEN4bNkr9

7 recorded almost everything it encountered. Its memory directory contained 413 files across 225 folders, totaling nearly 978,000 characters.

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