This toolkit addresses the complexity of building, evaluating, and deploying sophisticated AI agents, targeting developers who want a code-first, flexible, and modular approach. It aims to streamline agent development, making it more akin to traditional software engineering practices for easier creation, deployment, and orchestration of complex agentic architectures.

How It Works

ADK provides a code-first development paradigm using Python and Java, enabling developers to define agent logic, tools, and orchestration directly in code for enhanced testability and versioning. It supports modular multi-agent systems, allowing the composition of specialized agents into flexible hierarchies, and offers a rich tool ecosystem with pre-built tools, custom functions, and OpenAPI spec integration, optimized for the Google ecosystem but designed to be model and deployment-agnostic.

Quick Start & Requirements

• Primary install (Python): pip install google-adk
• Prerequisites: Python or Java development environment.
• Documentation: Documentation

Highlighted Details

• Code-first development in Python and Java.
• Modular multi-agent system design.
• Rich tool ecosystem with custom function and OpenAPI integration.
• Built-in tracing and monitoring with external provider support.
• Deployment options on Cloud Run or Vertex AI Agent Engine.

Maintenance & Community

The project is maintained by Google. Contribution guidelines are available.

Licensing & Compatibility

Licensed under the Apache 2.0 License. This license is permissive and generally compatible with commercial and closed-source applications.

Limitations & Caveats

The current version is 0.1.0, indicating it is an early release. While designed to be model-agnostic, it is optimized for the Google ecosystem, which may imply deeper integration or better performance with Google's AI models and services.