The adk-samples repository (google/adk-samples) focuses on: A collection of sample agents built with Agent Development Kit (ADK). It belongs in this directory only insofar as it supports developer-centric engineering workflows, multi-agent orchestration, workflow automation in AI products, agent systems, or developer tooling.
License
Apache-2.0
Stars
9,826
Homepage
https://adk.dev/Features
- Maintainer description for adk-samples: A collection of sample agents built with Agent Development Kit (ADK)
- adk-samples uses Python as its recorded primary language, which helps with stack-fit review.
- adk-samples helps evaluate coordination, planning, or task-decomposition patterns in agent systems.
- adk-samples fits engineering teams assessing code, CLI, SDK, runtime, or developer-tooling workflows.
- adk-samples lists Apache-2.0 license metadata; review obligations before redistribution or hosted use.
- adk-samples has about 9,387 GitHub stars in the local metadata snapshot.
Use Cases
- Use adk-samples when the need is agent orchestration and the repo summary matches: A collection of sample agents built with Agent Development Kit (ADK)
- Compare the Python implementation in adk-samples before choosing a similar internal architecture.
- Use adk-samples to test agent coordination patterns with a concrete open-source codebase.
- Use adk-samples to study developer-tooling implementation details before building internal workflows.
- Complete a Apache-2.0 license review before packaging adk-samples into a commercial or hosted workflow.
- Use adk-samples's GitHub traction as one input when prioritizing open-source evaluation.
FAQ
Start from the repository summary (A collection of sample agents built with Agent Development Kit (ADK)), then verify maintenance status, integration boundaries, and whether its agent orchestration, developer engineering workflows focus matches the intended workflow. Repository: https://github.com/google/adk-samples. Stars: about 9,387. License: Apache-2.0. Language: Python.
adk-samples is best treated as a repository-level component or reference implementation for agent orchestration, developer engineering workflows. Good evaluation scenarios include: Use adk-samples when the need is agent orchestration and the repo summary matches: A collection of sample agents built with Agent Development Kit (ADK) Compare the Python implementation in adk-samples before choosing a similar internal architecture. Use adk-samples to test agent coordination patterns with a concrete open-source codebase.
