# Perplexity Introduces Persistent AI Teammates for Autonomous Workflow Management New persistent agents handle complex, multi-step tasks autonomously for Perplexity Max subscribers. - **Source:** [Digital Trends](https://www.digitaltrends.com) - **Published:** 2026-11-05 - **Topic:** [technology](https://brifing.si/c/technology) - **Original article:** - **On Brifing:** https://brifing.si/s/7593b566-f468-49bd-bf22-46ad5a9858d6 ## Persistent AI Agents Launched Perplexity has officially launched Teammates, personal AI agents designed to handle ongoing work rather than temporary, session-based tasks. Unlike the previous Computer tool, which operated in ephemeral sandboxes, these agents maintain state and context. They are currently available exclusively to Max subscribers on the web and iOS platforms. ## Autonomous Workflow Capabilities Teammates are built to manage complex, end-to-end workflows with minimal human supervision. Users assign high-level goals, and the agents execute multi-step processes autonomously. They can monitor security, triage bugs, manage A/B tests, and perform data analysis, effectively acting as persistent coworkers that operate in the background 24/7. ## Integration With Existing Data These agents leverage a user's existing Projects, Memory, and Skills within the Perplexity ecosystem. By accessing previously onboarded connectors, files, and past session history, Teammates bootstrap their knowledge base immediately. This integration allows them to understand specific organizational needs and maintain continuity across various long-term professional projects. ## Collaborative Agent Architecture The system supports a multi-agent structure where individual Teammates can be assigned specific roles and work simultaneously. They are capable of managing other agents, planning tasks for newcomers, and coordinating efforts to ensure project completion. Users can review progress, intervene, or redirect these agents through dedicated sidebar threads. ## Learning From User Feedback A key feature of Teammates is their ability to learn from mistakes and direct feedback. In a marketing example, an agent optimized ad campaigns by monitoring acquisition costs and preparing contracts without needing repeated instructions. This iterative improvement cycle allows the agents to refine their performance based on specific user preferences. ## Slack and Platform Connectivity Teammates can be integrated into communication platforms like Slack, where they monitor channels and act based on programmed triggers. Coworkers can hand off tasks directly to these agents within the chat interface. Each agent operates in its own environment, ensuring that actions remain organized and reviewable by the user. ## Subscription and Access Costs Access to this persistent agent technology is restricted to the Perplexity Max tier. This subscription plan is priced at $200 per month or $2,000 annually. While currently limited to web and iOS, the company has confirmed that native desktop and mobile applications are in development for future release. ## Competitive Landscape and Context Perplexity is entering a crowded market for autonomous workspace agents. Major competitors like OpenAI, Microsoft with Copilot Cowork, and Anthropic with Claude Cowork are pursuing similar objectives. While some rivals focus primarily on enterprise-wide deployments, Perplexity is positioning its Teammates as a specialized solution for individual power users. ## Sources covering this story - [Digital Trends — Perplexity Launches Persistent AI Teammates for Complex Workflows](https://www.digitaltrends.com/cool-tech/perplexitys-new-ai-coworkers-can-take-over-your-workload-but-they-dont-come-cheap/) - [Engadget - Technology News & Expert Reviews — Perplexity Launches Autonomous AI Teammates for Complex Workflows](https://www.engadget.com/2308870/perplexity-teammates-ai-agents-for-ongoing-work/) - [Engadget — Perplexity Launches Autonomous AI Teammates for Complex Workflows](https://www.engadget.com/2308870/perplexity-teammates-ai-agents-for-ongoing-work/) --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._