Instead of building environments from scratch, you can extract them from existing agent trajectories, then use those environments to generate diverse training tasks at scale—turning single frozen demonstrations into many verifiable, interactive learning scenarios.
Terminal-Universe reconstructs executable coding environments from agent trajectories by replaying file operations and synthesizing missing dependencies. It then generates new tasks from these environments—both variations of original tasks and cross-workspace queries—and extends them into multi-turn interactions with simulated user feedback.