Codesota · Agentic AI · Task agents · Terminal BenchTasks/Agentic AI/Task agents
Task agents · benchmark dataset · EN

Terminal Bench.

Terminal-Bench is a framework and set of tasks for evaluating how well AI agents can accomplish complex tasks in a terminal environment. It consists of a dataset of tasks and an execution harness. Each task includes a description in English, a Docker environment, and a test script to verify successful completion by the agent.

Submit a result
§ 01 · Leaderboard

Best published scores.

No results indexed yet — be the first to submit a score.

No benchmark results indexed yet
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies