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Google Agent Development KitA modular framework for building, deploying, and managing AI agents across diverse workflows.

4.4 (5)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

The Google Agent Development Kit (ADK) is an open-source framework for building, deploying, and managing AI agents across diverse workflows. It allows developers to create reliable AI agents at enterprise scale, with support for multiple programming languages including Python, TypeScript, Go, Java, and Kotlin. ADK provides a modular architecture for building agents, enabling developers to start with simple prompts and tool calls and scale up to multi-agent orchestration and graph-based workflows. ADK is designed to be used by both humans and AI, allowing developers to generate agents in seconds using their favorite coding assistant. The framework provides easy access to various AI models, including Gemini, and supports integration with existing apps and services. ADK also features a powerful CLI tool, Agents CLI, which enables developers to scaffold, build, test, evaluate, and deploy agents quickly. One of the key features of ADK is its graph-based workflow architecture, which allows developers to orchestrate complex tasks through structured and predictable execution paths. This enables developers to create reliable and intelligent agents that can reason and adapt to changing conditions. ADK also provides a range of tools and resources for developers, including comprehensive training, videos, and community support. ADK is part of a growing ecosystem of open-source tools and services for building and deploying AI agents. The framework is designed to be extensible and customizable, allowing developers to add new features and capabilities as needed. With ADK, developers can create production-ready AI agents that can be deployed at scale, making it a powerful tool for businesses and organizations looking to leverage the power of AI. The ADK community is active and growing, with a range of resources available for developers, including guides, tutorials, and community support. The framework is also constantly evolving, with new features and capabilities being added regularly. Overall, ADK is a powerful and flexible framework for building and deploying AI agents, and is well-suited for developers looking to create reliable and intelligent agents at scale. ADK has several strengths, including its modular architecture, support for multiple programming languages, and ease of use. However, it also has some limitations, such as the need for significant development expertise and resources to deploy at scale. Additionally, ADK is a relatively new framework, and as such, it may not have the same level of maturity and stability as more established frameworks. In comparison to other frameworks, ADK offers a unique combination of flexibility, scalability, and ease of use. Its graph-based workflow architecture and support for multiple AI models make it well-suited for complex and dynamic applications. However, it may not be the best choice for simple or trivial applications, where a more lightweight framework may be more suitable. Overall, ADK is a powerful and flexible framework for building and deploying AI agents, and is well-suited for developers looking to create reliable and intelligent agents at scale. With its modular architecture, support for multiple programming languages, and ease of use, ADK is an attractive choice for businesses and organizations looking to leverage the power of AI. ADK has a number of potential use cases, including customer service, language translation, and data analysis. Its ability to integrate with existing apps and services makes it a versatile tool for a wide range of applications. Additionally, its support for multiple AI models and graph-based workflow architecture make it well-suited for complex and dynamic applications. In conclusion, ADK is a powerful and flexible framework for building and deploying AI agents. Its modular architecture, support for multiple programming languages, and ease of use make it an attractive choice for developers looking to create reliable and intelligent agents at scale. While it has some limitations, such as the need for significant development expertise and resources to deploy at scale, it offers a unique combination of flexibility, scalability, and ease of use that makes it well-suited for a wide range of applications. ADK is constantly evolving, with new features and capabilities being added regularly. The framework is designed to be extensible and customizable, allowing developers to add new features and capabilities as needed. With its active and growing community, comprehensive training and resources, and powerful CLI tool, ADK is a powerful tool for businesses and organizations looking to leverage the power of AI. The ADK ecosystem is also growing, with a range of open-source tools and services available for building and deploying AI agents. The framework is designed to be open and extensible, allowing developers to add new features and capabilities as needed. With its support for multiple AI models, graph-based workflow architecture, and ease of use, ADK is well-suited for a wide range of applications, from simple chatbots to complex and dynamic systems. Overall, ADK is a powerful and flexible framework for building and deploying AI agents, and is well-suited for developers looking to create reliable and intelligent agents at scale. Its unique combination of flexibility, scalability, and ease of use make it an attractive choice for businesses and organizations looking to leverage the power of AI.

Key features

  • Graph-based workflow architecture
  • Support for multiple AI models
  • Modular architecture
  • Agents CLI
  • Integration with existing apps and services
  • Comprehensive training and resources

Pricing

Model
Free
Rating
4.4 / 5 (5)

Use cases

Build Custom AI Agents

Use the modular framework to design and develop AI agents tailored to specific application needs and workflows.

Deploy Agents to Production

Leverage the kit's deployment capabilities to move AI agents from development into live production environments.

Orchestrate Multi-Step Workflows

Manage and coordinate AI agents across diverse workflows, enabling complex task automation and process orchestration.

Manage Agent Lifecycles

Centrally monitor, update, and maintain AI agents throughout their operational lifecycle using the framework's management tools.

Pros & Cons

Pros

  • Modular architecture
  • Support for multiple programming languages
  • Ease of use
  • Graph-based workflow architecture
  • Support for multiple AI models

Cons

  • Requires significant development expertise and resources to deploy at scale
  • Limited maturity and stability compared to more established frameworks
  • May not be suitable for simple or trivial applications

Reviews

4.4

Average from 5 ratings.

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Marcus Bell

Feb 14, 2026

Use it every day

Honestly didn't expect to like it this much. The automation is exactly what I needed, and it is genuinely easy to set up. I do wish a few rough edges remain, but I reach for it almost every day now and it just clicks.

Yuki Mori

Yuki Mori

Dec 10, 2025

Does the job

Pretty happy overall. The automation just works and it saves real time. but no dealbreakers — I'd recommend it to a friend without hesitating.

Olga Ivanova

Olga Ivanova

Dec 7, 2025

Solid for our team

We rolled this out across the team last quarter and it saves real time. The integrations fits neatly into how we already work, and the integrations removed a step we used to do by hand. The docs could be deeper, which is the main caveat, but it has held up under daily use.

Priya Nair

Priya Nair

Nov 22, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the integrations, and it saves real time caught me off guard. still, I'd recommend giving it a real trial.

OH

Omar Haddad

Aug 7, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is the core workflow — handled better than most — and it saves real time. A few rough edges remain is my one real gripe. Worth the time if this is your use case.

Q&A

Is it suitable for non-developers or business users?

The Agent Development Kit is positioned as a framework, which typically implies a developer-oriented tool requiring coding skills to build and configure agents. Non-technical users may find it less accessible without engineering support.

Asked by Hiroshi Tanaka · Feb 1, 2026

Does it support deploying agents to production environments?

Yes, the framework covers the full lifecycle of AI agents, including building, deploying, and managing them. This means it's intended not just for prototyping but also for running agents in production workflows.

Asked by Naomi Suzuki · Jan 5, 2026

What can I build with the Google Agent Development Kit?

The Google Agent Development Kit is a modular framework designed for building, deploying, and managing AI agents that can operate across a wide range of workflows. Its modular design makes it suitable for developers creating custom agent-based applications.

Asked by Leila Hassan · Dec 6, 2025

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