A technological revolution in GUI automation is quietly taking shape. In August 2025, Alibaba once again stunned the industry with its powerful technological innovation capabilities, officially launching the third-generation GUI intelligent agent framework, Mobile-Agent-v3, while also open-sourcing the multimodal cross-platform GUI virtual layer model, GUI-Owl. This technical combination demonstrated outstanding performance in over 10 authoritative GUI benchmark tests, particularly achieving remarkable success rates of 73.3% and 37.7% on the industry-recognized platforms AndroidWorld and OSWorld, respectively, reaching the highest level in the current industry.

The emergence of Mobile-Agent-v3 marks a new stage in the development of GUI automation technology. This cross-platform multi-agent framework, built upon GUI-Owl, is specifically designed for graphical user interface automation, covering every corner of mobile devices and desktop operating systems. The core mission of the framework is to achieve seamless cross-application operations through highly intelligent task decomposition, precise planning, and efficient execution.

This system cleverly integrates four core functional modules: perception, reasoning, planning, and action execution, enabling AI to demonstrate unprecedented adaptability and execution efficiency when facing complex and ever-changing GUI environments. In the AndroidWorld benchmark test, Mobile-Agent-v3 easily surpassed all previous competitors' records with a task success rate of 73.3%, and on the more challenging OSWorld testing platform, a success rate of 37.7% further confirmed its strong universality and reliability in multi-operating system environments.

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As the technical core of the entire framework, GUI-Owl showcases the latest breakthroughs in multimodal GUI automation. This open-source model exhibits impressive GUI perception and operation capabilities. It can accurately understand the layout structure and various interactive elements of the interface, just like a human user, by deeply analyzing screen images and interface architecture, accurately identifying the positions and functions of interactive components such as buttons, text input fields, and menu items.

Even more impressive is GUI-Owl's ability to convert natural language instructions into specific screen operations. Users simply need to describe the desired task in everyday language, and the system will automatically transform these instructions into precise screen coordinate clicks, smooth swipe gestures, and accurate text inputs, truly achieving an end-to-end automation process from instruction understanding to action execution.

The cross-platform adaptability of GUI-Owl makes its application scenarios extremely broad. Whether it's Android mobile devices, Windows desktop systems, or macOS operating environments, this model can perfectly adapt and deliver excellent performance. This wide compatibility provides developers with unprecedented flexibility, allowing them to build unified automation solutions across different platforms.

Powered by the powerful features of GUI-Owl, Mobile-Agent-v3 demonstrates a series of astonishing core capabilities through the advantages of the multi-agent architecture. The dynamic task decomposition and planning function allows the system to automatically create detailed action plans based on complex user instructions, and it also has the intelligent adaptability to adjust strategies in real-time according to interface changes or task requirements.

The addition of progress management and exception handling mechanisms makes the entire automation process more stable and reliable. The system can monitor every step of the task execution in real time, and when encountering unexpected pop-ups, advertisements, or other anomalies, it can quickly identify and take appropriate measures to ensure the successful completion of the entire task process.

The cross-application task support feature truly enables seamless collaboration between applications. Through advanced key information recording technology, Mobile-Agent-v3 can switch flexibly between different applications, such as obtaining content on a social media platform and then automatically transferring to an email application for sharing and dissemination, with a smooth and natural process that mimics human user operations.

The self-reflection and optimization mechanism allows the system to have the ability to continuously learn and improve. The built-in intelligent analysis module can deeply analyze errors and shortcomings encountered during task execution, transforming these experiences into optimization strategies applied to subsequent operations, thus continuously improving the success rate and execution efficiency of long-term complex tasks.

The release of Mobile-Agent-v3 undoubtedly sets a new milestone in the development of GUI automation technology. Compared to traditional automation solutions based on API interfaces or pre-set scripts, Mobile-Agent-v3 achieves a qualitative leap in system flexibility and generality through the deep integration of multimodal perception technology and intelligent planning algorithms. Its industry-leading performance on the AndroidWorld and OSWorld testing platforms fully demonstrates the great application potential of this technology in mobile devices and desktop environments.

The open-sourcing decision of GUI-Owl provides a precious technical gift to the global developer community. The complete source code and detailed technical documentation have been publicly released on GitHub, allowing developers around the world to build their own customized GUI intelligent agent solutions based on the strong foundation of GUI-Owl, which will greatly accelerate the pace of technological innovation in the entire industry. Alibaba also revealed that subsequent versions of Mobile-Agent-v3 are being developed intensively, not only aiming to further optimize the existing performance but also planning to challenge the technical limits in more authoritative benchmark tests.

The joint release of Alibaba's Mobile-Agent-v3 and GUI-Owl not only represents the latest major breakthrough in artificial intelligence within the field of GUI automation, but also establishes a new industry benchmark for cross-platform intelligent interaction technology. Its outstanding performance in multiple authoritative tests strongly proves the powerful potential and broad prospects of multimodal AI technology in handling complex tasks. The release of this open-source framework is sure to greatly promote the popularization and application of GUI automation technology worldwide, especially showcasing infinite possibilities in innovative scenarios such as smart control of mobile devices and cross-application collaboration. For developers who aspire to make achievements in the field of GUI automation, now is the best time to delve into the open-source code of GUI-Owl and explore the endless potential of GUI automation.

Project Address: https://github.com/X-PLUG/MobileAgent