Google Agent Development Kit for Python and Java

Introduction

In a groundbreaking move at Google I/O 2025, Google unveiled its Agent Development Kits (ADKs) for Python and Java — a major step in simplifying how developers build, test, and scale intelligent AI agents. Whether you’re a machine learning engineer or a full-stack developer, the Google Agent Development Kit offers a modular, production-ready solution for real-world automation and reasoning tasks.

What is the Google Agent Development Kit?

The Google Agent Development Kit (ADK) is an open-source toolkit that helps developers create AI agents capable of performing tasks autonomously. It provides:

A code-first development model
Tools for building modular multi-agent systems
Integration with Google’s Vertex AI Agent Builder for deployment

Why It Matters for Developers

With AI workflows growing more complex, traditional monolithic models fall short. Google’s ADKs introduce:

Python ADK (v1.0.0): Production-ready, ideal for rapid prototyping and AI research
Java ADK (v0.1.0): Early access, great for backend-focused enterprise systems

These toolkits enable structured, testable, and composable agents that can be versioned and scaled.

Key Features of Google’s ADK

Code-First Agent Logic

Write clean agent behavior directly in Python or Java. No black boxes.

Multi-Agent Composition

Build intelligent hierarchies of agents, ideal for complex workflows like data analysis, automation, or customer service.

Tool Integration

Plug in APIs, webhooks, and external tools effortlessly for maximum flexibility.

Cloud-Ready Deployment

Deploy agents using Google Cloud’s Vertex AI, with automatic scaling and monitoring support.

How to Get Started

For Python:

pip install google-adk

For Java (Maven):

<dependency>
  <groupId>com.google.adk</groupId>
  <artifactId>google-adk</artifactId>
  <version>0.1.0</version>
</dependency>

You can begin building agents in minutes. The documentation includes samples, templates, and workflows to jumpstart development.

Best Use Cases for the Google ADK

Task Automation Agents – Automate IT, DevOps, or support workflows
Data Analysis Bots – Agents that process and summarize large datasets
Productivity Agents – AI copilots for email, scheduling, and research
Multi-Step Assistants – Design agents that collaborate and plan using sub-agents

Want to learn more about AI agent platforms? Check out my Gemini 2.5 + Jules AI Agent Overview.

Conclusion

Google’s release of the Agent Development Kits for Python and Java represents a pivotal moment in AI tooling. It empowers developers to take control of the agent lifecycle — from design to deployment — using languages they already know and love.

Start building your own intelligent agents today with the Google ADK.