Expanding our long-running agents research preview

Cursor has unveiled a research preview of its long-running agents, designed to autonomously tackle complex projects, available to Ultra, Teams, and Enterprise users. These agents, developed from research on autonomous web browser building, overcome limitations of frontier models on long-horizon tasks by employing a custom harness that emphasizes planning and follow-through, resulting in larger, production-ready pull requests (PRs) with minimal follow-up. The agents successfully completed tasks like building new platforms, refactoring systems, and optimizing performance, demonstrating capabilities beyond those of synchronous agents by offering a more comprehensive approach to problem-solving. Early participants found the agents reduced timelines from several months to days, allowing parallel project handling. The initiative marks a step toward autonomous codebases, enabling agents to manage larger tasks with less human intervention, and prompting the development of new tools to handle increased code generation and deployment safely.