Agent Development Kit (ADK)

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 Agent Runtime.

🚀 Usage

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

• Get started with ADK Python

• Get started with ADK TypeScript

• Get started with ADK Go

• Get started with ADK Java

• Get started with ADK Kotlin

📚 Documentation

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

• Documentation

✨ Coding with AI

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 AI coding tools via MCP servers.

🤝 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!