Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight
Most AI memory remembers the user. It stores your preferences, your tastes, and your role. Perplexity is taking a different path. Today, Perplexity launched Brain, a self-improving memory system for its agent product, Computer. Brain does not focus on remembering you. It remembers what the agent did. That reframes what memory in AI is for. What is Perplexity‘s Brain Brain is a self-improving memory system. It builds a context graph of the work Computer performs. At set intervals, su
Get smart on it
A self-improving memory system for AI agents has been launched that stores information about the agent's work rather than user preferences. The system builds a context graph documenting what tasks the agent performed, what succeeded, what failed, and what corrections were made, then reviews and learns from this work overnight to improve performance on future similar tasks. This represents a different approach to AI memory than traditional systems, which focus on remembering user information for engagement rather than on helping agents perform their core functions more efficiently. Early measurements reported improvements in answer correctness, recall, and cost reduction on tasks the agent has previously encountered.
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