Perplexity is expanding its productivity ambitions with the launch of Teammates, a new set of always-on AI agents designed for work. These agents can operate inside a workspace, take on assigned roles, and draw on existing projects, skills, and memory from Perplexity tools that users already rely on.
The key promise is collaboration at scale. Rather than acting as a one-off chatbot, Teammates are built to help with ongoing, large-scale work, with multiple agents performing different jobs at the same time. That could make AI support feel more like a flexible project team than a single assistant.
Why this is a win
- More capable workflows: Teams can assign different responsibilities to different AI agents.
- Continuity: Teammates can use workspace context and memory to support longer-running projects.
- Practical automation: Integration with Perplexity Computer points toward agents that can help complete real tasks on a device.
Perplexity’s launch also reflects a broader shift in AI from answering questions to actively helping people get work done. As companies like OpenAI, Anthropic, and Perplexity compete on agentic tools, users stand to benefit from faster research, smoother coordination, and more accessible automation in everyday business settings.