Contemporary approaches to integrating AI agents into library information processes

The work aims to investigate the possibility of using software agents based on artificial intelligence to optimize the information process in libraries. Modern libraries, especially academic ones, act as resource centers for providing scientific and educational information for the scholarly community. However, the library's activities are not only about serving users and satisfying their information needs. Numerous internal processes are not visible to the average person. User. Despite providing libraries with information systems that support their activities, libraries must keep pace with modern technologies and strive to optimize and transform their activities in accordance with the conditions of modernity, as well as the information needs of users. One of the most modern technologies is the production of various kinds of tools combined with the work of artificial intelligence. Since much research has been conducted on the possibility of using AI in different fields, the library industry is no exception. The paper considers the possibility of applying AI-based agents to the ability to process and optimize processes related to information processing in libraries. The paper analyzes the capabilities of software agents based on AI, such as AutoGPT, AgentGPT, MiniAGI, SuperAGI, and natural language processing, for use in the library. The main attention is paid to analyzing the main areas, such as cataloging and book-buying recommendations. The paper proposes new approaches to optimizing information processes in libraries with the help of intelligent agents, emphasizing their potential to increase the productivity and quality of library services.