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Perplexity Projects

Perplexity Upgrades Spaces into Persistent AI Workspaces with the Launch of Projects

Perplexity turns Spaces into a persistent AI workspace through upgrading it to Projects. The Perplexity Computer feature can now support long-term research, collaboration, and task management. You can now make context-driven edits easily even if starting over tasks. Announced on 30 July 2026, the new feature allows users to organize conversations, documents, tasks, and AI insights, everything within a single workspace that remembers context over time.

Perplexity’s CEO Aravind Srinivas stated, “Introducing Projects on Perplexity Computer. With the launch of Projects, we’re turning Computer into a multiplayer agentic operating system for work with persistent memory, files, and sessions scoped across hubs and users. Available to all users!

The rollout of Projects is now available to users, marking another step in Perplexity’s initiative to evolve from an AI answer engine into a comprehensive productivity platform.

Projects Replace Spaces with a Smarter Workspace

Projects build upon the foundation of Spaces while combining conversations, uploaded documents, AI searches, custom instructions, and collaborative tools into a unified environment. Each Project acts as a dedicated knowledge hub where information accumulates over time instead of functioning as isolated chat sessions.

At the announcement, Perplexity stated, “Today we’re rolling out Projects, an evolution of Spaces. Projects are hubs for long-running, ongoing work  Computer. A single place to manage, create, and collaborate on tasks with a shared file system and persistent memory.

Users can organize research materials, upload supporting files, execute AI-enabled tasks, and revisit previous conversations while maintaining a continuous workflow. As per Perplexity, the latest upgrade reduces repetitive prompting and allows the AI to deliver more relevant responses by understanding the broader context of each Project.

Brain in Projects Strengthens Long-Term Context

Brain is a key component of Perplexity’s new experience. It is a memory system integrated into Projects. Brain allows the AI to retrieve important information from conversations, uploaded files, and completed work within a Project. The AI gradually builds an understanding of the workspace with the advanced memory system, enabling it to recall earlier discussions, reference existing documents, and provide more consistent assistance rather than treating every interaction as a fresh request.

The rebuilt Projects platform moves beyond stateless AI interactions by introducing long-term memory that helps users manage complex work more efficiently.

Collaboration and Productivity Are at the Core

Projects are designed to support both individual users and collaborative teams. Multiple contributors can work within the same workspace while sharing documents, conversations, research findings, and AI-generated outputs.

The feature also supports Project-specific instructions while allowing users to define how the AI should behave within a particular workspace. These instructions remain active throughout the Project, eliminating the need to repeat preferences or workflow requirements in every conversation.

Projects aim to streamline knowledge management and reduce fragmentation by centralizing files, searches, tasks, and conversations.

Perplexity’s Endeavor Toward Building Persistent AI Workspaces

The introduction of Projects reflects an extensive evolution across the AI industry, where companies are moving beyond chatbot experiences. They are now aiming to build platforms capable of supporting long-running work. Persistent memory, contextual understanding, and collaborative workflows are becoming increasingly important as users expect AI systems to function as continuous partners rather than one-time assistants.

With Projects replacing Spaces, Perplexity is positioning itself to meet that demand by replacing Spaces with Projects and offering an AI workspace that supports collaboration. The company’s latest upgrade represents an effort to make intelligent assistance more practical for complex, multi-step projects.

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