MobiAgent：一個系統化的可定制移動代理框架

摘要

隨著視覺語言模型（VLMs）的快速發展，基於圖形用戶界面（GUI）的移動代理已成為智能移動系統的一個關鍵發展方向。然而，現有的代理模型在實際任務執行中仍面臨重大挑戰，特別是在準確性和效率方面。為解決這些限制，我們提出了MobiAgent，這是一個全面的移動代理系統，包含三個核心組件：MobiMind系列代理模型、AgentRR加速框架和MobiFlow基準測試套件。此外，考慮到當前移動代理的能力仍受制於高質量數據的可用性，我們開發了一種AI輔助的敏捷數據收集管道，顯著降低了人工註釋的成本。與通用的大型語言模型（LLMs）和專用GUI代理模型相比，MobiAgent在實際移動場景中實現了最先進的性能。

English

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.

MobiAgent：一個系統化的可定制移動代理框架

MobiAgent: A Systematic Framework for Customizable Mobile Agents

摘要

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