The new feature builds a persistent context graph that learns and updates continuously, aiming to eliminate the repetitive prompting problem that plagues most AI assistants.
Perplexity AI has introduced Brain, a self-improving memory system designed for its Perplexity Computer platform. Brain builds and continuously updates what Perplexity calls a “context graph,” essentially a dynamic map of a user’s preferences, project histories, and workflows that grows smarter over time.
The system works by constructing a persistent context graph, a structured network of information that captures user contexts, preferences, and interaction histories. Rather than storing raw transcripts, it distills patterns and relationships into something the AI can reference and build upon across sessions.
This isn’t entirely new territory for Perplexity. The company first introduced persistent memory capabilities in a blog post on November 26, 2025. Brain appears to be the matured, branded version of that earlier work, now deeply integrated into the broader Perplexity Computer ecosystem.
The Perplexity Computer platform #
Brain is a feature layer within Perplexity Computer, the company’s comprehensive AI agent system that launched on February 25, 2026.
Perplexity Computer is designed for end-to-end workflow management and project execution. It orchestrates over 19 different AI models, including Claude Opus 4.6, Gemini, and Grok. The platform supports over 400 service connectors and includes a Linux sandbox environment. Project orchestration can span hours or even months.
Access is currently limited to Perplexity Max subscribers, with enterprise access planned for the future. User discussions suggest the Max tier runs around $200 per month, which includes a base of 10,000 monthly credits along with launch bonuses.
Perplexity Computer has no blockchain components, no token integrations, and no digital asset features in any of its announcements.
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