Survey on Terminal Agents: Definitions and Evaluation Frameworks
omarsar0 · x · 2026-08-25
This survey focuses on AI agents in command-line environments (Terminal Agents), defining them as systems where the dominant action-observation loop is mediated by terminal execution.
- Framework: It establishes a seven-dimensional terminal competence profile to connect architecture, learning, and evaluation.
- Insights: Behavior is shaped by model, interface, harness, runtime, and environment. Executable trajectories ground learning in consequences.
- Evaluation: Current benchmarks emphasize final outcomes, unevenly exposing process quality and recovery. The paper finds that different benchmark families expose different process signals and calls for explicit reporting of runtime conditions with replayable traces.
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