| title | TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents |
|---|---|
| authors | Shoufa Chen, Luyuan Wang, Xuan Yang, Zhiheng Liu, Yuren Cong, Yuanfeng Ji, Feiyan Zhou, Xiaohui Zhang, Fanny Yang, Belinda Zeng |
| date | 2026-06-26 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2606.28480 |
| affiliation | AI at Meta |
| upvotes | 48 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf code |
| abstract | As large language models and harness frameworks continue to advance, agents operating in terminals are increasingly capable of performing a broader range of general computer-use tasks beyond coding. However, existing benchmarks do not adequately evaluate general-purpose terminal computer-use agents (TUAs): general computer-use benchmarks primarily target graphical user interfaces (GUIs), whereas terminal-based benchmarks largely emphasize technical and programming-centric workflows historically native to the shell. We introduce TUA-Bench, a general-purpose benchmark for terminal-use agents. TUA-Bench includes 120 real-world tasks across five task families, covering routine digital activities-including document editing, email management, and live-web information seeking-as well as scientific and engineering workflows co-designed with PhD-level domain experts that require specialized software. This breadth distinguishes TUA-Bench from prior shell-focused or domain-specific benchmarks. Each task is manually designed, runs in a real terminal with a deterministic setup script, and is evaluated by an execution-based scoring protocol. We find that the strongest frontier agent, Claude Code with Claude Opus 4.8 max reasoning effort, achieves 65.8% overall performance, with substantial gaps across both tracks. By providing a broad and realistic evaluation of terminal-use capabilities, TUA-Bench aims to accelerate the transition from narrow, task-specific assistants to general-purpose agents capable of operating reliably across diverse digital environments. |
cite
@misc{chen2026tua,
title={TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents},
author={Shoufa Chen and Luyuan Wang and Xuan Yang and Zhiheng Liu and Yuren Cong and Yuanfeng Ji and Feiyan Zhou and Xiaohui Zhang and Fanny Yang and Belinda Zeng},
year={2026},
eprint={2606.28480},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2606.28480}
}