Dear friends, the team from the IPADS Laboratory of Shanghai Jiao Tong University has achieved something remarkable! They've launched a brand - new mobile - based intelligent agent toolchain called MobiAgent 🎉. This is truly extraordinary as it directly breaks down the barriers to developing personalized intelligent assistants, and it's said to outperform GPT - 5 and other top - tier closed - source models in real - world scenarios 👍.

MobiAgent is extremely powerful. It gives everyone the opportunity to create their own AI assistant. This toolchain enables users to build a mobile - based intelligent agent from scratch, covering the entire process from collecting operation data, training the model, to deploying it on mobile phones. Moreover, it's open - source, allowing users to obtain their own data, train the model, and use the intelligent assistant on their personal devices. It's so convenient 🥰.

To verify its capabilities, the research team conducted tests on 20 popular domestic applications. The results show that the 7B - scale MobiAgent model outperforms many well - known closed - source large - scale models in task completion scores, and it also leads among open - source GUI intelligent agents of the same scale 👏. Its unique "Latent Memory Accelerator" can learn from historical operations, helping the intelligent agent quickly complete repetitive tasks, with a performance improvement of 2 - 3 times.

The core of MobiAgent lies in its efficient data collection and intelligent training process. It uses lightweight tools to record users' mobile phone operations, then generates high - quality training data with a general VLM model, and through refinement and adjustment, the trained intelligent agent has excellent generalization ability. Its "brain" is divided into three parts: the "Planner" is responsible for task planning, the "Decision - maker" makes decisions based on the screen, and the "Executor" performs specific operations. This architecture makes model training more efficient and significantly improves the response speed 😎.

There's also the innovative AgentRR acceleration framework, which can leverage past operation experience to greatly improve the execution efficiency of repetitive tasks, with an action reuse rate of up to 60% - 85%. The intelligent assistant can handle daily affairs quickly and accurately.

The emergence of MobiAgent not only facilitates the customization of personal intelligent assistants but also promotes the development of the mobile intelligent agent ecosystem. It really seems that the intelligent era where "you can get things done by voice rather than hands" is coming 🤩.

Dear friends, are you looking forward to MobiAgent? Come and chat in the comments section 🧐

Paper address: https://arxiv.org/pdf/2509.00531

#MobiAgent #Shanghai Jiao Tong University #AI Assistant #Mobile - based Intelligent Agent #Open - source Toolchain #Performance Surpassing