Google has announced the expansion of its Agent Development Kit (ADK) to include support for the Go programming language. This enhancement enables developers to leverage Go’s concurrency and strong typing to build sophisticated AI agents. The open-source ADK offers a code-first approach for managing LLM orchestration, tool integration, and agent behavior, which is particularly beneficial for debugging and versioning.
One of the standout features of ADK for Go is its support for over 30 databases through the MCP Toolbox, which facilitates seamless data management. Developers also gain access to a built-in development UI that is instrumental for testing and debugging agent systems. With these tools, the complexity of LLM orchestration is embedded within code, allowing more precise control over deployment processes.
Additionally, ADK supports the Agent2Agent (A2A) protocol, enabling secure multi-agent collaboration. Google’s contribution of an A2A Go SDK to the open-source A2A Project further strengthens this architecture, promoting interoperability between different AI systems.
Complementing these technical enhancements is the introduction of Agent Garden, a publicly available repository offering curated AI agent samples built with ADK. It provides cloud service integrations, one-click deployment via the Agent Starter Pack, and customization through Firebase Studio. This platform simplifies the intricate process of building multi-agent systems, making it easier for developers to use ready-to-use templates and streamline deployment workflows.
The addition of Go language support sits alongside existing support for Python and Java, showcasing Google’s commitment to offering versatile development tools that cater to various programming languages. By moving the complexity of AI orchestration into code, developers are empowered with better control over their AI projects, making the ADK an indispensable toolkit in AI agent development.

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Google's Agent Development Kit now supports Go, enabling developers to build AI agents using Go's concurrency and type safety. The open-source toolkit provides LLM orchestration, integration with 30+ databases via MCP Toolbox, a development UI for testing, and Agent2Agent protocol support for multi-agent collaboration. Agent Garden complements the release with curated agent samples, cloud integrations, and one-click deployment options. Go joins Python and Java as supported languages, giving developers code-first control over AI agent development and deployment.

Google Introduces Go Language Support and Resources for AI Agent Development with ADK