Agents are the primary application form driving the transformation of large models into real-world productive forces. Through tool invocation, workflows, and human-computer interaction, agents rapidly comprehend and respond to practical needs, thereby expanding the application scenarios of large models. In the process of advancing the digital-intelligent transformation of ideological and political education, actively and prudently utilizing various types of agents has become an essential requirement for promoting moral education in the new era and achieving high-quality development of ideological and political education. Leveraging their strengths in intent understanding, task planning, and reasoning-based decision-making, agents facilitate the empowerment mechanism of “concept innovation-knowledge production-scenario expansion-evaluation transformation”. This effectively promotes personified interaction and in-depth dialogue among subjects in ideological and political education, systematic integration and personalized generation of educational resources, ubiquitous expansion and immersive experiences in educational settings, and the transformation toward scientific decision-making and precise evaluation in education. Consequently, this leads to a holistic reshaping of the paradigms and forms of ideological and political education. However, the integration of intelligent agent technology into ideological and political education faces risks and challenges, such as the weakening of subjectivity due to technological dependence, the fragmentation of knowledge caused by heterogeneous data, the alienation of methods resulting from virtual interactions, and the emotional detachment induced by a lack of humanistic elements. Addressing these issues requires shaping a people-oriented value philosophy, enhancing the competencies of subjects in ideological and political education, addressing the shortcomings in the corpus of intelligent agents for ideological and political education, enriching the content system of ideological and political education, building an intelligent agent technology ecosystem, improving regulatory frameworks and risk prevention mechanisms, fostering a deeper sense of commitment in ideological and political education, and enhancing emotional warmth in human-computer interactions.