The arrival of LLMs in November 2022, marked by the release of the GPT-3.5 model, represents a milestone in the field of AI. These advanced models have demonstrated an exceptional ability to comprehend and generate human-like text, among other skills. The versatility and proficiency of LLMs have paved the way for the development of various applications, including intelligent agents. When these agents are combined synergistically in a MAS, they utilize the trained or pre-trained LLMs as their core AI engine. In the educational sector, this AI-driven transformation has reinforced the concept of Smart Learning, leveraging advanced technologies to create interactive, personalized, and efficient learning experiences. One tangible manifestation of Smart Learning is the development of SLApps which harness AI for robust educational support. In this paper, we explore the introduction of a SLApp that employs a swarm of intelligent agents coordinated within a MAS. By leveraging the capabilities of LLMs and the coordinated efforts of intelligent agents, the SLApp aims to improve the educational process. Key contributions include the preliminary architecture of the SLApp, integration with the LTI 1.3 standard for compatibility with LMSs and implementation of RAG technology to minimize hallucinations and enhance knowledge sources.