Semantic Kernel is a framework designed to facilitate the integration and orchestration of large language models, plugins and agents in AI applications. In this session, we start with a brief overview of Semantic Kernel core concepts and plugins followed with an in-depth description of Semantic Kernel Agents. To illustrate the concept of multi-agent scenarios and benefits of multiple AI models, we'll present a collaborative demo to streamline and enhance the software development process.