With Brain, the computer starts each task with the full context of your projects, decisions, and sources, instead of starting from scratch. On tasks that require past context, Brain improves answer accuracy by 25%, recall by 16%, and reduces costs by 13%.
@perplexity_ai
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Brain: Continuous Learning Memory for Stateful Computer
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Introducing Brain in Computer.
— Perplexity (@perplexity_ai) 18 juin 2026
Brain is a continuously learning memory system. Every task on Computer plugs into a context graph built by Brain.
It makes Computer more stateful with every run.
Available as a research preview for all Perplexity Max subscribers. pic.twitter.com/Dw4Q7IzmqsIntroduction to Brain in Computer. Brain is a continuous learning memory system. Each task on Computer connects to a context graph built by Brain. This makes Computer more stateful with each execution. Available in research preview for all.
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Deep Research in Computer: parallel code-based search
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Deep Research in Computer is based on our Search as Code architecture. The model writes code that assembles the search itself, executing thousands of retrieval steps in parallel, tailored to each question. It surpasses the old Deep Research on all
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Deep Research integrated as a native capability in Computer
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We're integrating Deep Research as a native skill inside Computer.
— Perplexity (@perplexity_ai) 11 juin 2026
It now connects to the agent harness that powers Computer, with access to search as code generation, long running sandboxes, connectors, tools, and licensed data.
Available now to Pro and Max subscribers. pic.twitter.com/uHpVISkh2PWe are integrating Deep Research as a native capability inside Computer. It now connects to the agent harness that powers Computer, with access to research in the form of code generation, long-lived sandboxes, connectors,
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Agent autonomy improves tracking and satisfaction
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We have found that more autonomy with autonomous agents like Computer results in better quality tracking and greater satisfaction.
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Cost Comparison of Human and Computer Research
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Research is cheap to start but costly per step, since the human executes each one. Computing costs more upfront to delegate and verify, but little per step, since the agent executes the steps. It is worth it once a task
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Perplexity and Harvard Research: Autonomous Agents 87% Faster, 94% Cheaper
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We have published new research with Harvard on the transition from chat interfaces to autonomous agents like Computer. Over 3 months, the results show that workers using Computer complete tasks in 87% less time and at 94% less cost.
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Hybrid agentic inference in Perplexity Computer
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Read more about hybrid agentic inference in Perplexity Computer:
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Perplexity Computer announces hybrid agentic inference with local and cloud
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Today we're announcing that hybrid agentic inference is coming to Perplexity Computer.
— Perplexity (@perplexity_ai) 2 juin 2026
Computer can split tasks between a local model running on your machine and frontier models in the cloud. This keeps private data on your device and maximizes token efficiency.
Coming soon. pic.twitter.com/6t3PrmI1FXToday we're announcing that hybrid agentic inference is coming to Perplexity Computer. Computer can split tasks between a local model running on your machine and frontier models in the cloud. This keeps private data on your device and maximizes token efficiency. Coming soon.
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Perplexity AI achieves new cost-performance frontier, outperforming Anthropic
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It also sets a new cost-performance frontier. On DSQA it scores 0.871, ahead of Anthropic's 0.815, at nearly half the cost per task. On WideSearch it leads on score while running cheaper.