Multi-Agent Computer Use
Computer use agents (CUAs) today are primarily deployed as single serial agents. This setup is suboptimal for complex long-horizon tasks that benefit from task decomposition, parallel execution, and consistent re-planning based on new information. In this paper, we argue that we should instead move towards evaluating and building multi-agent computer use (MACU) systems. These systems, which emphasize planning and parallel execution, alleviate many of the shortcomings of single-agent CUAs. We propose a general multi-agent setup in which a manager model decomposes computer use tasks as a directed acyclic graph (DAG), encoding relevant dependencies and goals for subagents. At each iteration,...
| Authors | Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried |
|---|---|
| Primary category | cs.MA |
| Published | 1 June 2026 |
| Last updated at source | 1 June 2026 |
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