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Adk Python

Open Source
★ 22,022 • Updated Oct 27, 2026, 03:03 PM

The Agent Development Kit (ADK) is an open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Use Cases ▼
01

Building and deploying AI-powered chatbots

02

Creating custom AI agents for specific tasks or industries

03

Integrating AI agents with other systems and tools

04

Deploying AI agents in cloud or on-premises environments

05

Developing and testing AI agents using a built-in development UI

What Problem It Solves ▼

The ADK solves the problem of building, evaluating, and deploying sophisticated AI agents by providing a flexible and modular framework that applies software development principles to AI agent creation. This allows developers to create AI agents with ease, flexibility, and control, and to deploy them in various environments. The ADK also addresses the issue of integrating AI agents with other systems and tools, providing a rich tool ecosystem and supporting various deployment options.

Key Features ▼
✓

Flexible and modular framework

✓

Supports various deployment options

✓

Rich tool ecosystem

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Built-in development UI

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Open-source and community-driven

Overview

The Agent Development Kit (ADK) is an open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control. It applies software development principles to AI agent creation, simplifying the process of building, deploying, and orchestrating agent workflows. ADK is designed to be model-agnostic, deployment-agnostic, and compatible with other frameworks. It provides a range of features, including a workflow runtime, task API, modular multi-agent systems, and a rich tool ecosystem. ADK allows developers to define agent logic, tools, and orchestration directly in Python, providing ultimate flexibility, testability, and versioning. The framework also includes a built-in development UI to help test, evaluate, debug, and showcase agents. ADK can be deployed locally with Docker Container or in Google Cloud (Cloud Run), and it supports various environment variables for customization. The project is licensed under the Apache 2.0 License and welcomes contributions from the community.

Pros & Cons

Pros

+

Flexible and modular framework

+

Supports various deployment options

+

Rich tool ecosystem

+

Built-in development UI

+

Open-source and community-driven

Cons

−

Steep learning curve

−

Requires Python programming skills

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Limited support for non-Python environments

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