adk-docs
A code-first AI agent development framework, open-sourced by Google.
Install & Use
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The Agent Development Kit (ADK) addresses the lack of flexibility and control developers face when building, evaluating, and deploying complex AI agents. It provides a code-first, modular framework that enables developers to define an agent's logic, tools, and workflows through code, much like developing traditional software, thereby achieving high testability and version control.
With ADK, developers can easily integrate pre-built tools or custom functions to build systems ranging from simple tasks to complex multi-agent collaborations. It supports multiple languages including Python, TypeScript, Go, Java, and Kotlin, and offers comprehensive getting-started guides and documentation to help developers ramp up quickly.
This framework is ideal for professional developers who desire deep control over agent behavior and need to build maintainable, scalable agent applications. Whether building customer service bots, automated workflows, or complex decision-making systems, ADK provides a solid foundation.
It is recommended to review the official documentation to understand its core concepts and best practices before use. As it emphasizes code control, it is better suited for developers with some programming experience rather than users seeking no-code or purely UI-based configuration.
Key Features
ADK's core differentiator lies in its "code-first" and "model/deployment-agnostic" design philosophy. Unlike some pre-packaged agent platforms, it provides a low-level framework, allowing developers to precisely control every step of an agent's decision-making and tool invocation as if writing regular programs, while maintaining compatibility with various AI models and deployment environments.
Limitations
Not suitable for non-technical users seeking a no-code, drag-and-drop approach to quickly build simple agents.
FAQ
What's the difference between ADK and LangChain?
ADK emphasizes a code-first approach and fine-grained control, designed more like a software development framework. LangChain offers higher-level abstractions and a rich set of ready-made Chains, which may allow for faster onboarding but offers relatively less customization.
Must I use Google's Gemini model?
No. While optimized for the Google ecosystem, ADK is designed to be model-agnostic and can interface with other mainstream large language models.
Installation guide for AI assistants
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