Google Agent Development Kit

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Category:AI Agent Development Frameworks

Overview

A modular framework for building, deploying, and managing AI agents across diverse workflows.

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AI developers machine learning engineers software architects research scientists automation specialists

Google's Agent Development Kit (ADK) is an open-source framework designed to simplify the creation, deployment, and management of AI agents. Optimized for Google's Gemini models yet model-agnostic, ADK supports various agent types, including LLM-powered agents, workflow controllers, and custom agents. It offers features like multi-agent orchestration, tool integration, session management, and built-in evaluation tools. ADK facilitates flexible deployment options, including local environments, Google Cloud's Vertex AI Agent Engine, and Cloud Run, making it suitable for a wide range of AI applications.

Autonomy level

83%

Reasoning: ADK enables high autonomy through dynamic LLM-driven decision-making (LlmAgent transfer) while maintaining developer control. It supports both deterministic workflows (sequential/parallel/loop patterns) and adaptive behaviors using Gemini models. Agents can self-orchestrate tool usage, state management, and inter-agent communication, though ultimat...

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Some of the use cases of Google Agent Development Kit:

Developing AI agents for complex task automation and orchestration.
Integrating multiple agents to collaborate on multifaceted workflows.
Deploying AI solutions across various environments, including cloud platforms.
Evaluating agent performance through built-in testing and monitoring tools.
Extending agent capabilities with custom tools and third-party integrations.

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Pricing model:

free

Code access:

open-source

Popularity level: 68%