Building Multi-Agent Systems with Semantic Kernel focuses on the creation of multi-agent systems where AI agents work collaboratively to accomplish tasks and solve problems. In this framework, each agent operates independently, utilizing AI models to execute specialized functions. These agents can be designed for various roles, such as chatbots, task assistants, or automating repetitive processes, making them highly adaptable for different use cases. Semantic Kernel empowers the seamless integration and coordination of these agents, enhancing their ability to work together efficiently.