The rise of open-source AI models has transformed the way developers prototype intelligent applications. GitHub, a hub of innovation, provides access to a vast ecosystem of pre-trained models that can be leveraged for AI development. This presentation explores how to experiment with GitHub-hosted AI models, integrate them into applications, and build autonomous agents using powerful Python libraries like PydanticAI, AutoGen, and Semantic Kernel. We explore how these models can be orchestrated within intelligent AI agents to perform complex tasks autonomously.

This session provides a hands-on approach to turning code into intelligence, showcasing best practices, real-world applications, and the future of AI agent development using GitHub’s open-source ecosystem