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Perplexity Launches Brain, a Self-Improving AI Memory System
Perplexity has launched Brain, a self-improving memory system for its Computer agentic product. Brain continuously builds a context graph of an agent’s past work, including sessions, tools, files, decisions, and sources, synthesizing it into an updated working model overnight. Early internal tests show Brain improves task correctness by 25%, recall by 16%, and reduces historical context-heavy work costs by 13%.
Why it matters
Brain significantly enhances agent performance by providing a persistent, self-updating memory, allowing AI agents to learn from past interactions and improve their efficiency and accuracy over time.
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