MobiAgent: A Systematic Framework for Customizable Mobile Agents
Authors: name: Cheng Zhang; name: Erhu Feng; name: Xi Zhao; name: Yisheng Zhao; name: Wangbo Gong; name: Jiahui Sun; name: Dong Du; name: Zhichao Hua; name: Yubin Xia; name: Haibo Chen
Published: 2025-08-30 15:24:47

Abstract: With the rapid advancement of Vision-Language Models (VLMs), GUI-based mobile
agents have emerged as a key development direction for intelligent mobile
systems. However, existing agent models continue to face significant challenges
in real-world task execution, particularly in terms of accuracy and efficiency.
To address these limitations, we propose MobiAgent, a comprehensive mobile
agent system comprising three core components: the MobiMind-series agent
models, the AgentRR acceleration framework, and the MobiFlow benchmarking
suite. Furthermore, recognizing that the capabilities of current mobile agents
are still limited by the availability of high-quality data, we have developed
an AI-assisted agile data collection pipeline that significantly reduces the
cost of manual annotation. Compared to both general-purpose LLMs and
specialized GUI agent models, MobiAgent achieves state-of-the-art performance
in real-world mobile scenarios.