Qwen's Terminal-Universe paper: reconstructing agent training environments from trajectories

dair_ai · x · 2026-09-04

New paper from the Qwen team on where agent training environments actually come from: terminal agent trajectories have accumulated at scale while realistic executable environments remain scarce.
Key insight: environments are what post-training needs — each can be re-queried into many verifiable tasks with execution feedback, while a trajectory is a single frozen demonstration.
Terminal-Universe reconstructs the environment from the trajectory instead of generating one from scratch: the tool-execution history exposes the environment's structure; replaying recorded file operations restores files to pre-modification state, and a completion agent fills in missing files and dependencies.
Recovered workspaces are scaled along two axes (text truncated).

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