Self-improving memory for agents

Brain is a new self-improving memory system for Perplexity’s Computer agent that focuses on remembering and learning from work performed rather than primarily retaining user preferences. It creates a traceable context graph, presented as an automatically updated LLM wiki, that incorporates past sessions, connected sources, documents, project details, successful approaches, mistakes, and user corrections. By reviewing and synthesizing this information at intervals such as overnight, Brain aims to help agents begin future tasks with stronger context, identify reliable sources more quickly, reduce unnecessary model calls and token use, and improve outputs over time. Early measurements cited by the company indicate that Brain increases correctness by 25% and recall by 16% on previously encountered tasks while reducing costs for historically contextual tasks by 13%. Memory entries link to their originating sessions, files, or sources for traceability, and Brain is initially available in Research Preview to Max and Enterprise Max subscribers.

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