Mobile-use is a framework that enables AI agents to interact with real Android and iOS applications as a human would.
The framework addresses the challenge of giving AI agents the ability to control and navigate mobile apps through direct interaction rather than API calls or predefined integrations. It works by allowing agents to perceive the mobile interface visually and execute touch-based actions, mimicking human user behavior. This approach lets agents handle any app without requiring app-specific code or integrations, making it applicable to a wide range of mobile testing, automation, and interaction scenarios.
Teams should consider this tool when they need AI agents to perform tasks across diverse mobile applications without building custom connectors for each one. It suits projects involving mobile app testing, user workflow automation, or scenarios where agents must interact with apps as end users would. The framework is particularly valuable when dealing with legacy apps, third-party applications, or situations where API access is unavailable or impractical.
The project shows active development with regular commits and ongoing refinement of core functionality. The codebase demonstrates a focus on practical implementation of agent-app interaction patterns. Documentation and examples are maintained to support adoption and use case exploration.
