This article discusses the basic principles of developing and using mobile agents, which are software components that can move between network nodes to perform various tasks. Describes the architecture of mobile agents, including an agent-based core, migration mechanisms, and runtime, and discusses popular tools and technologies for their development, such as Java Aglets, JADE, Mobile-C, and Voyager. The article analyzes the key benefits of mobile agents, including flexibility, reduced network traffic, and increased reliability, and discusses security and management challenges. In modern pedagogy, there is a trend towards the use of mobile technologies with the introduction of elements of artificial intelligence. Today's mobile learning apps are increasingly using artificial intelligence to personalize the learning experience. However, traditional approaches based on centralized algorithms face difficulties in scaling and adapting to dynamic user needs. Mobile agents offer a new approach to creating more flexible and adaptive learning mobile apps. In this article, we explore the potential of mobile agents in the context of training, looking at their architecture, benefits, and limitations. The use of mobile agents in mobile learning apps represents a new paradigm for personalized learning, aimed at increasing the efficiency of the educational process and improving the user experience. Mobile agents are autonomous software entities that can move between different network nodes and perform tasks tailored to the needs and preferences of users. In learning mobile apps, they can collect data on student behavior and progress, provide personalized recommendations, offer personalized learning plans, and provide real-time, interactive support. In the course of the study, the EduAgent mobile application was developed. The results of the study show that the use of mobile agents contributes to improving the perception of the material, increasing student engagement and motivatio...