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Agent Development Kit

Agent Development Kit
Launch Date: April 16, 2025
Pricing: No Info
ADK, Google Cloud, multi-agent systems, agent development, Gemini models

Google''s Agent Development Kit, or ADK, is an open source tool that helps you create smart, independent systems with multiple agents. It works really well with Google''s services, including their Gemini models and Google Cloud.

Benefits

ADK makes it easier to build agents with tools and other things built right in. It lets you create apps that are modular and can grow by putting together different agents in a hierarchy. ADK also helps agents work together and delegate tasks, checks how well agents are doing, and lets you put them in containers to use anywhere.

Use Cases

ADK is great for building systems where multiple agents work together and use tools. For instance, a WeatherAgent can handle weather questions and pass on greetings to a GreetingAgent. ADK''s structures and smart routing make this process efficient. It is especially useful for creating apps that are ready for use with more flexibility and precise control.

ADK comes with tools to test how well agents work against predefined datasets. Once you''re happy with how they perform, you can easily deploy agents using Vertex AI Agent Engine or any container runtime, finishing the development process.

Additional Information

ADK is designed for complex agents and multi agent systems, giving you higher level tools for agent development. It works anywhere but is best with Google Cloud, integrating smoothly with Gemini models and Vertex AI. This lets you use advanced AI features, scalable deployment, diverse data sources, and existing APIs, making ADK very powerful within the Google Cloud environment.

ADK offers a strong, flexible, and open source base for building the next generation of AI apps. It tackles the main challenges of multi agent development by giving you precise control over agent behavior and coordination, a rich set of tools and integrations, a good developer experience for building and debugging, a strong evaluation framework, and a clear way to deploy.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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