adk-cheatsheet

An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

インストール
CLI
npx skills add https://github.com/google/adk-docs --skill adk-cheatsheet

CLI を使用してこのスキルをインストールし、ワークスペースで SKILL.md ワークフローの使用を開始します。

最終更新日: 4/22/2026

Agent Development Kit (ADK)

License
PyPI
NPM Version
Go Doc
Maven Central

An open-source, code-first toolkit for building, evaluating, and
deploying sophisticated AI agents with flexibility and control.

Agent Development Kit (ADK) is a flexible and modular framework for developing
and deploying AI agents
. While optimized for Gemini and the Google ecosystem,
ADK is model-agnostic, deployment-agnostic, and is built for
compatibility with other frameworks. ADK was designed to make agent
development feel more like software development, to make it easier for
developers to create, deploy, and orchestrate agentic architectures that range
from simple tasks to complex workflows.


✨ Key Features

  • Rich Tool Ecosystem: Utilize pre-built tools, custom functions,
    OpenAPI specs, or integrate existing tools to give agents diverse
    capabilities, all for tight integration with the Google ecosystem.

  • Code-First Development: Define agent logic, tools, and orchestration
    directly for ultimate flexibility, testability, and versioning.

  • Modular Multi-Agent Systems: Design scalable applications by composing
    multiple specialized agents into flexible hierarchies.

  • Tracing and Monitoring: Built-in agent observability for debugging and optimizing
    workflows.

  • Deploy Anywhere: Easily containerize and deploy agents on Cloud Run or GKE, or
    scale seamlessly with Vertex AI Agent Engine.

🚀 Usage

You can use Agent Development Kit (ADK) with your preferred language:

📚 Documentation

Explore the full documentation for detailed guides on building, evaluating, and
deploying agents:

✨ Vibe Coding

Accelerate your ADK agent development workflow with AI-assisted coding. ADK
provides optimized documentation context compatible with AI code editors:

  • llms.txt: A structured index
    of ADK documentation, designed to help LLMs navigate and locate specific
    topics and guides.
  • llms-full.txt: The
    comprehensive documentation reference, ideal for complex implementations or
    models with large context windows.

You can also visit our
Coding with AI
guide for instructions on using these files with development tools like Gemini
CLI and Antigravity.

🤝 Contributing

We welcome contributions from the community! Whether it's bug reports, feature
requests, documentation improvements, or code contributions, please see our
Contributing Guidelines to get started.

📄 License

This project is licensed under the Apache 2.0 License - see the
LICENSE file for details.


Happy Agent Building!