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mobile-use - Open-source mobile AI agents for natural language control of your phone.

mobile-use is a mobile AI Agents tool that supports natural language control of Android and iOS devices, helping users operate their phones. Users issue commands in everyday language, and the tool automatically completes tasks such as opening apps, filling out forms, etc.

What is mobile-use?

mobile-use is a mobile AI Agent tool that supports natural language control of Android and iOS devices, helping users operate their phones. Users issue commands in everyday language, and the tool automatically completes tasks such as opening applications, filling out forms, and extracting information. mobile-use is UI-aware, provides intelligent navigation, and supports data extraction and structured processing. The tool has good scalability and supports configuration with different language models. mobile-use is open source on GitHub, providing detailed usage guides and development documentation to facilitate quick learning for developers and users.

Main functions of mobile-use

  • Natural Language InteractionUsers can control their phones using natural language commands, eliminating the need for complex operations.
  • Cross-platform supportIt is compatible with Android and iOS devices, covering a wide range of users.
  • UI awareness and automationIt automatically recognizes and manipulates mobile phone interface elements to achieve intelligent navigation.
  • Data extraction and structuringExtract information from applications and transform it into structured data for easier further processing.
  • Task automationIt supports performing complex tasks, such as filling out forms and searching for information, thereby improving efficiency.
  • ScalabilityIt supports configuring different language models to adapt to different scenarios and needs.

The technical principle of mobile-use

  • Natural Language Processing (NLP)Use NLP techniques to parse user commands and understand intent.
  • UI Automation FrameworkBy combining tools such as ADB (Android Debug Bridge) and XCUITest (iOS), the identification and manipulation of interface elements can be achieved.
  • Model-driven architectureIt supports multiple language models, such as GPT-4, and enables intelligent interaction through API calls.
  • Data Acquisition and ProcessingInformation is extracted through screenshots and OCR technology and then processed in a structured manner.
  • Multimodal fusionIt combines multiple data types such as text and images to improve the accuracy and efficiency of task execution.

The project address for mobile-use

  • GitHub repositoryhttps://github.com/minitap-ai/mobile-use

Application scenarios of mobile-use

  • Cross-application information retrieval and sharingUsers can find address information sent by friends on WeChat and open that address in Amap for navigation.
  • Social media interactionSearch for the trending topic #ArtificialIntelligence# on Weibo, follow related bloggers, and comment on their latest Weibo posts.
  • Video platform operationSearch for the latest video from the content creator on Bilibili, open and play it, then leave a comment in the comment section.
  • Daily task automationOpen Alipay, go to My Bills, and view your total spending for this month.
  • Chinese application operationSearch for "Shanghai Disneyland Guide" on Xiaohongshu, view the most liked posts, and save the content to your favorites.
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