What is mobile-use
mobile-use is a mobile AI Agents tool that supports controlling Android and iOS devices with natural language, helping users operate their phones. Users issue commands in everyday language, and the tool automatically completes tasks such as opening apps, filling out forms, and extracting information. mobile-use can perceive the UI interface, navigate intelligently, and support data extraction and structured processing. The tool has good scalability and supports configuring different language models. mobile-use is already open source on GitHub, providing detailed usage guides and development documentation to help developers and users get started quickly.
Main features of mobile-use
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Natural language interaction: Users control their phones through natural language commands, without complex operations.
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Cross-platform support: Compatible with Android and iOS devices, covering a broad user base.
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UI perception and automation: Automatically recognizes and operates mobile interface elements to achieve intelligent navigation.
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Data extraction and structuring: Extracts information from apps and converts it into structured data for further processing.
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Task automation: Supports executing complex tasks, such as filling out forms and searching for information, improving efficiency.
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Scalability: Supports configuring different language models to adapt to different scenarios and needs.
Technical principles of mobile-use
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Natural Language Processing (NLP): Uses NLP technology to parse user commands and understand intent.
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UI automation framework: Combines tools such as ADB (Android Debug Bridge) and XCUITest (iOS) to implement recognition and operation of interface elements.
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Model-driven architecture: Supports multiple language models, such as GPT-4, enabling intelligent interaction through API calls.
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Data collection and processing: Extracts information through screenshots and OCR technology, and performs structured processing.
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Multimodal fusion: Combines multiple data types such as text and images to improve the accuracy and efficiency of task execution.
Project address of mobile-use
- GitHub repository：https://github.com/minitap-ai/mobile-use
Application scenarios of mobile-use
- Cross-app information retrieval and sharing: A user looks up address information sent by a friend in WeChat and can open that address in Amap for navigation.
- Social media interaction: Search for the trending topic #人工智能# on Weibo, follow related bloggers, and comment on the bloggers' latest Weibo posts.
- Video platform operations: Search for a UP host's latest video on Bilibili, open it, play it, and finish by leaving a comment in the comment section.
- Daily task automation: Open Alipay, go to My Bills, and check this month's total spending.
- Chinese app operations: Search for "上海迪士尼攻略" on Xiaohongshu, view the post with the most likes, and save the content to favorites.