G

Google ADK

Google's open-source Python framework for production AI agent systems

PriceOpen Source (Apache 2.0)Reviewed2026-04-29
Verdict — Ship
3 Ships1 Skips
Visit github.com

The Panel's Take

Google's Agent Development Kit (ADK) is an open-source Python framework that brings software engineering discipline to AI agent development. It takes a code-first approach — developers define agent logic directly in Python, making agents testable, composable, and deployable across different environments without lock-in. ADK supports pre-built tools, custom functions, OpenAPI specs, and MCP integrations. It's designed for multi-agent architectures where specialized sub-agents are orchestrated into scalable hierarchies. A built-in development UI makes local testing and debugging far easier than most competing frameworks, and Cloud Run and Vertex AI deployments are first-class deployment targets. With 19,300+ stars and an Apache 2.0 license, ADK is gaining real traction. While optimized for Google's Gemini models, it's designed to be model-agnostic — an important choice that signals Google understands developers want flexibility, not a guided tour of their cloud bill.

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Google ADK verdict: SHIP 🚀

3 ships · 1 skip from the expert panel

Full review: shiporskip.io/tool/google-adk-agent-development-kit-python-apache-2026

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Ship · 7.5/10
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The reviews

ADK hits the sweet spot between the simplicity of a prompt wrapper and the complexity of LangChain. The MCP integration and built-in dev UI make it the most productive framework I've tried for real multi-agent systems. The Python-native design means you can test agents like real software.

Helpful?

It's a Google project, which means 'optimized for Gemini' in practice regardless of what the docs promise. The Apache license is great, but you're betting on Google's continued commitment — and Google has an impressive graveyard of abandoned developer tools.

Helpful?

ADK represents Google's serious entry into the agent framework wars. The code-first philosophy and MCP-native design suggest they studied what developers actually want. If Gemini and Vertex AI keep improving, this stack will be formidable.

Helpful?

The dev UI for testing agents demystifies what your AI is actually doing — which matters enormously when you're building creative automation. Steep learning curve for non-engineers, but if you have a technical partner, ADK is worth exploring.

Helpful?

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