mlsanityData to 14 Oct 2026

TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents

arXiv 2606.28480 ↗First posted 26 Jun 2026cs.SE cs.AIcited by 9

On the map: LLM agents and tool use → GUI and mobile agents

Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Placed in GUI and mobile agents, one of 16 directions in LLM agents and tool use. Builds on 23 of its 41 references that are in the map. First posted on arXiv 26 Jun 2026.

Builds on

23 of 41 references.

Closest ancestors · 5

Same direction, newest first

  1. 2026CLI-Anything: Towards Agent-Native Computer Use2 Jun
  2. 2025OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents28 Oct
  3. 2025macOSWorld: A Multilingual Interactive Benchmark for GUI Agents4 Jun
  4. 2024Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale12 Sep
  5. 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments11 Apr

Other references · 18

  1. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,373
  2. 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 2,006
  3. 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineeringcited by 1,737
  4. 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,242
  5. 2024OpenHands: An Open Platform for AI Software Developers as Generalist Agentscited by 1,002
  6. 2024WebVoyager: Building an End-to-End Web Agent with Large Multimodal Modelscited by 438
  7. 2018Reinforcement Learning on Web Interfaces Using Workflow-Guided Explorationcited by 284
  8. 2024ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discoverycited by 235
  9. 2025GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Taskscited by 158
  10. 2025MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Serverscited by 96
  11. 2025The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Executioncited by 85
  12. 2024OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automationcited by 70
6 more
  1. 2025SetupBench: Assessing Software Engineering Agents' Ability to Bootstrap Development Environmentscited by 18
  2. 2025Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agentscited by 18
  3. 2026Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectoriescited by 15
  4. 2025OSUniverse: Benchmark for Multimodal GUI-navigation AI Agentscited by 10
  5. 2026TerminalWorld: Benchmarking Agents on Real-World Terminal Taskscited by 10
  6. 2025LLM-Supported Natural Language to Bash Translationcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 9.

9 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2026The Hard Part Comes After Search: Benchmarking Web Agents on Synthesizing, Organizing, and Displaying Knowledge
  2. 2026WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces
  3. 2026MacAgentBench: Benchmarking AI Agents on Real-World macOS Desktop
  4. 2026cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents
  5. 2026WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments
  6. 2026LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces
  7. 2025GUI-360^circ: A Comprehensive Dataset and Benchmark for Computer-Using Agents
  8. 2025Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents