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Google ADK

Google's open-source, code-first framework for building, evaluating, and deploying AI agents. Optimised for Gemini but model-agnostic, with Python, Java, and Go SDKs. Designed for Cloud Run and Vertex AI Agent Engine deployment.

Editorial Score
4/5
Visit Google ADK →GitHub →← All Frameworks
4/5
Editorial score
MCP SUPPORTED
Latest: v2.0.0a3
License
Open Source
Hosting
Self-hosted + Cloud
Languages
Python, Java, Go
MCP Support
Yes
// Our Verdict

The strongest framework for teams already in the Google / GCP ecosystem. Batteries-included tooling, multi-language SDKs, and native MCP support put it ahead of most alternatives for Gemini workloads. Model-agnostic in theory, but the Gemini-first design creates friction outside GCP.

Best for: Teams building on Gemini or deploying to GCP who want a batteries-included framework with built-in observability and Cloud Run / Vertex AI integration
// Strengths
+18.9k GitHub stars — strongest community signal of any dedicated agent framework
+Multi-language: Python, Java, and Go SDKs all officially maintained by Google
+Batteries included: built-in code execution sandbox, session management, and web UI for debugging
+Native MCP support for tool integration
+Callbacks provide clean, low-boilerplate hooks into agent execution for observability
+Deploy anywhere: Cloud Run, Vertex AI Agent Engine, or fully self-hosted
// Weaknesses
–Optimised for Gemini — non-Gemini model workflows may encounter friction despite model-agnosticism claim
–GCP / Vertex AI alignment creates ecosystem pressure toward Google Cloud deployment
–More opinionated than LangGraph — custom architectures require more fighting the framework
–Python SDK is most mature; Go and Java versions are feature-complete but see new capabilities later
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