MobiAgent: A Systematic Framework for Customizable Mobile Agents

• URL: http://arxiv.org/abs/2509.00531v1
• Date: Sat, 30 Aug 2025 15:24:47 GMT
• Title: MobiAgent: A Systematic Framework for Customizable Mobile Agents
• Authors: Cheng Zhang, Erhu Feng, Xi Zhao, Yisheng Zhao, Wangbo Gong, Jiahui Sun, Dong Du, Zhichao Hua, Yubin Xia, Haibo Chen,
• Abstract summary: We propose MobiAgent, a comprehensive mobile agent system.<n>It consists of the MobiMind-series agent models, the AgentRR acceleration framework, and the MobiFlow benchmarking suite.<n>Compared to both general-purpose LLMs and specialized GUI agent models, MobiAgent achieves state-of-the-art performance in real-world mobile scenarios.
• Score: 11.72214553752663
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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