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adk java

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Basic Information

Agent Development Kit for Java is an open source, code-first toolkit intended for Java developers who want to build, evaluate, and deploy sophisticated AI agents with fine-grained control. It provides libraries and examples to define agent behavior, orchestration, tools, and integrations directly in Java so logic can be versioned, tested, and debugged like application code. The README emphasizes tight integration with Google Cloud services, a collection of prebuilt tools and the ability to register custom functions or OpenAPI-based tools, and includes dependency instructions for Maven. The project targets use cases that require composing single or multiple specialized agents, running locally or in the cloud, and iterating on agent designs using provided documentation and sample repositories.

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App URL
https://github.com/google/adk-java
Github Repository
https://github.com/google/adk-java/blob/main/README.md

App Details

Features
The README highlights a rich tool ecosystem that includes prebuilt tools, the ability to add custom functions and OpenAPI specifications, and integrations for common services. It emphasizes code-first development so agents, tools, and orchestration are defined in Java for improved testability and version control. The kit supports modular multi-agent systems enabling hierarchical or composed agents. A built-in development UI is provided to test, evaluate, debug, and showcase agents. The documentation and samples are maintained separately and the project offers examples of model selection and tool wiring in code. Remote agent-to-agent communication is planned via A2A protocol integration and evaluation tooling is noted as forthcoming.
Use Cases
This repository helps developers by delivering a Java-first framework to implement AI agents with production-oriented practices such as debugging, versioning, and modular composition. It reduces integration friction by supplying prebuilt tools and patterns for registering custom tools and OpenAPI integrations, and it shows how to configure models and instruction-driven agent behavior in code. The development UI accelerates iteration and debugging. Clear install instructions and Maven coordinates make it straightforward to add to Java projects. Provided documentation and samples lower the barrier to experiment, and the multi-agent and A2A integration guidance supports building scalable and distributed agent applications.

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