SOURCE-LINKED INTELLIGENCE
Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments
As terminal-based code agents become prevalent, agent trajectories have accumulated at scale, while realistic, executable environments remain scarce. However, environments are what agent post-training actually requires: each can be re-queried into many verifiable tasks and provides execution feedback, whereas a trajectory is a single frozen demonstration. Rather than generating environments from scratch, we observe that the tool-execution history in existing trajectories exposes the structure and contents of the environments in which they ran, making it possible to reconstruct those environmen
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T17:41:05.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.