InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer
  Interaction
Authors: name: Bin Lei, name: Weitai Kang, name: Zijian Zhang, name: Winson Chen, name: Xi Xie, name: Shan Zuo, name: Mimi Xie, name: Ali Payani, name: Mingyi Hong, name: Yan Yan, name: Caiwen Ding

This paper introduces InfantAgent-Next, a generalist agent capable
of interacting with computers in a multimodal manner, encompassing text,
images, audio, and video. Unlike existing approaches that either build
intricate workflows around a single large model or only provide workflow
modularity, our agent integrates tool-based and pure vision agents within a
highly modular architecture, enabling different models to collaboratively solve
decoupled tasks in a step-by-step manner. Our generality is demonstrated by our
ability to evaluate not only pure vision-based real-world benchmarks (i.e.,
OSWorld), but also more general or tool-intensive benchmarks (e.g., GAIA and
SWE-Bench). Specifically, we achieve 7.27% accuracy on OSWorld,
higher than Claude-Computer-Use. Codes and evaluation scripts are open-sourced
at https://github.com/bin123apple/InfantAgent.