GenAI Agents is an open-source collection of tutorials and reference implementations for building generative-AI agents. Rather than focusing on a single framework, the repository demonstrates many agent patterns and use cases so developers can compare approaches and learn how individual components fit together.

The examples range from beginner-friendly agents to framework tutorials, research and educational systems, business assistants, creative workflows, retrieval, tool use, memory, multi-agent coordination, and other practical implementations. The repository is organized as a learning library with runnable code and explanations that can be adapted into new projects.

GenAI Agents is useful for developers who learn best by studying complete examples or who need starting points for a particular agent pattern. Its breadth makes it a practical companion to more conceptual agent material, especially when evaluating frameworks or looking for implementation ideas across different domains.