Adk Samples

Adk Samples fills a critical gap for developers diving into ADK 2.0. The framework is powerful but abstract; these samples give you something real to run and modify. The library includes everything from basic tool-calling agents to complex graph workflows with dynamic routing, human-in-the-loop, and parallel execution. The MCP and A2A protocol examples are particularly useful for building interoperable agents. Where do we reach for this? When you're starting an ADK project and need a proven pattern for graph workflows or agent teams. The samples are structured so you can copy a template, swap in your models and tools, and get a working agent in minutes. The streaming agent examples (both Python and Java) are great for building responsive chatbot interfaces. Where does it fall short? These are samples, not production-ready agents. You'll need to adapt them for security, error handling, and scale. There's no UI or mobile client—just code. Developers looking for a no-code agent builder should look elsewhere. Compared to the closest alternative—Google's own agent samples in other frameworks—Adk Samples wins on specificity and currency. They are written specifically for ADK 2.0, not adapted from LangChain or Vertex AI samples. The Go 2.0 GA support is a differentiator. However, if you're not on ADK, these samples won't help. In practice, we've found the samples to be reliable and well-documented. The one caveat: the repository evolves fast with ADK releases, so pin a version if you're building against a stable release. For anyone serious about ADK, bookmark this repo and start here.