AgentTime: Can Agents Estimate and Control Their Own Runtime?
An essential control of AI agents is their ability to manage runtime. This ability requires a sense of time-awareness, to predict and estimate wall-clock time and to control their own actions. Prior work has focused on time-awareness, but duration-following and control in native agent harnesses remain unexplored. We present AgentTime, a benchmark for testing whether agents can work for a requested duration, predict their runtime, and estimate elapsed time afterward. It comprises 222 tasks from 18 sources spanning coding, computer use, agentic work, and automated research. Duration-following experiments append a single instruction specifying how long to work, with requests ranging from abo...
| Authors | Michael Ofengenden, Maksym Andriushchenko |
|---|---|
| Primary category | cs.AI |
| Published | 7 October 2026 |
| Last updated at source | 8 October 2026 |
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