What is Google ADK?

Google ADK (Agent Development Kit) is an open-source framework for building, debugging, and deploying AI agents at enterprise scale. It launched as part of Google’s Vertex AI ecosystem and supports Python, TypeScript, Go, and Java. While optimized for Gemini models, ADK is model-agnostic and works with Claude, GPT, and open-source LLMs.

Last verified: April 2026

Quick Facts

Detail	Info
Type	Open-source AI agent framework
By	Google DeepMind / Google Cloud
Languages	Python, TypeScript, Go, Java
License	Apache 2.0
Best for	Enterprise agent pipelines, multi-agent systems
Integrates with	Vertex AI, AI Studio, Gemini API

What Makes ADK Different

Most agent frameworks (LangGraph, CrewAI) started as Python-only community projects. Google ADK is different:

• Multi-language from day one — Python, TypeScript, Go, Java SDKs
• Enterprise-grade — Built for Vertex AI production deployments
• Hierarchical agents — Native support for agent trees (parent/child delegation)
• A2A protocol — Built-in agent-to-agent communication for distributed systems
• Code execution sandbox — Vertex AI sandbox for safe agent-generated code execution
• Session management — Built-in session state with rewind capabilities

Key Features

1. Hierarchical Agent Architecture

ADK uses an agent tree model. A root agent delegates to specialized sub-agents, each with their own tools and instructions. This is more structured than CrewAI’s crew metaphor or LangGraph’s graph-based approach.

from google.adk import Agent
from google.adk.tools import google_search

agent = Agent(
    name="research_assistant",
    model="gemini-3.1-pro",
    instruction="You help users research topics.",
    tools=[google_search]
)

2. A2A Protocol Integration

ADK integrates with Google’s Agent-to-Agent (A2A) protocol for remote agent communication. This means your ADK agents can talk to agents built with other frameworks across network boundaries.

3. Built-in Debugging

The ADK web UI lets you step through agent execution, inspect tool calls, and replay sessions — critical for debugging complex multi-agent workflows.

4. Session Rewind

New in early 2026: you can rewind a session to before a previous invocation, letting you “undo” agent actions during development.

When to Use Google ADK

Choose ADK if:

• You’re building on Google Cloud / Vertex AI
• You need multi-language SDK support (especially Go/Java backends)
• Your system requires hierarchical multi-agent orchestration
• You want A2A protocol for cross-framework agent communication

Choose alternatives if:

• You want the simplest possible API → CrewAI
• You need maximum graph flexibility → LangGraph
• You’re in the Microsoft ecosystem → AutoGen

ADK vs Other Frameworks

Feature	Google ADK	LangGraph	CrewAI
Languages	Python, TS, Go, Java	Python, JS	Python
Agent model	Hierarchical tree	Directed graph	Role-based crews
A2A support	Native	No	No
Best LLM	Gemini 3.1 Pro	Any	Any
Learning curve	Medium	High	Low
Production ready	Yes (Vertex AI)	Yes	Yes

Getting Started

pip install google-adk

Or for TypeScript:

npm install @google/adk

The fastest way to experiment is through Google AI Studio, which provides a visual agent builder on top of ADK.

The Bottom Line

Google ADK is the most enterprise-ready agent framework available in April 2026. Its multi-language support and Vertex AI integration make it ideal for organizations already invested in Google Cloud. For indie developers and startups, CrewAI remains simpler to get started with, but ADK’s hierarchical agent model and A2A protocol support make it worth learning for complex production systems.