Agent Development Kit (ADK) vs. Google Cloud Model Garden Comparison


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About The Agent Development Kit (ADK) is a flexible, open-source framework for building and deploying AI agents. It is tightly integrated with Google’s ecosystem, including Gemini models, and supports popular large language models (LLMs). ADK simplifies the development of both simple and complex AI agents, providing a structured environment for building dynamic workflows and multi-agent systems. With built-in tools for orchestration, deployment, and evaluation, ADK helps developers create scalable, modular AI solutions that can be easily deployed on platforms like Gemini Enterprise Agent Platform or Cloud Run.	About Model Garden is an AI and machine-learning model catalog within Google Cloud’s AI platform. It helps teams discover, evaluate, customize, and deploy Google models and selected models from partners and open-source publishers. Model pages provide model-specific guidance and deployment options; depending on the model, users can test it, access a managed API, tune it, or deploy it to a cloud endpoint. Developers can work through the Google Cloud console and supported APIs, SDKs, and command-line tools. Model Garden is intended for developers, data scientists, and machine-learning teams building generative AI and other model-powered applications. Model availability, deployment choices, and associated usage charges vary by model and configuration.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience The Agent Development Kit (ADK) is designed for AI developers, researchers, and organizations looking to build, deploy, and manage AI agents using Google’s ecosystem, Gemini models, and a wide array of third-party integrations	Audience AI developers, data scientists, and machine-learning teams building generative AI and other model-powered applications.
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Open source Free Version Supported Free Trial Not Supported	Pricing Costs depend on the selected model and its usage, plus any managed endpoint or compute resources used; applicable model and infrastructure rates vary by configuration. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 4.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros ADK feels like a serious framework for people who want to build real agents, not just quick demos. It gives developers a structured way to define agents, connect tools, coordinate multi-agent workflows, and move from local testing toward production. I like that it is open source and supports multiple languages. Python is great for AI work, but TypeScript, Go, Java, and Kotlin support make ADK more realistic for teams building inside existing engineering stacks. The production focus is the biggest advantage. ADK is built around debugging, evaluation, deployment, and reliability, which are exactly the things teams need once an agent goes beyond a prototype. Cons ADK may be more framework than you need for a simple chatbot or one-off automation. If the use case is small, a lighter tool may be faster to set up.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Google Founded: 1998 United States google.github.io/adk-docs/	Company Information Google Founded: 1998 United States cloud.google.com/model-garden
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Categories Agentic AI Supported Agentic Orchestration Supported AI Agent Builders Supported AI Agent Frameworks Supported AI Orchestration Supported	Categories ML Model Management Supported

Integrations Gemini Supported Gemini Enterprise Agent Platform Supported AG-UI Supported Agent Control Supported Agent2Agent (A2A) Supported Agentspan Supported Gemini Enterprise Supported Google Cloud CLI Not Supported Google Cloud Platform Not Supported Google Cloud Run Supported Hindsight Supported Hugging Face Not Supported OpenUI Supported Openlayer Supported Prefactor Supported Simaril Supported asqav Supported Show More Integrations View All 14 Integrations	Integrations Gemini Supported Gemini Enterprise Agent Platform Supported AG-UI Not Supported Agent Control Not Supported Agent2Agent (A2A) Not Supported Agentspan Not Supported Gemini Enterprise Not Supported Google Cloud CLI Supported Google Cloud Platform Supported Google Cloud Run Not Supported Hindsight Not Supported Hugging Face Supported OpenUI Not Supported Openlayer Not Supported Prefactor Not Supported Simaril Not Supported asqav Not Supported Show More Integrations View All 5 Integrations
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