Home › Agent Frameworks › ADK Python

ADK Python - AI Agent Frameworks Tool

Overview

ADK Python is an open-source, code-first Python toolkit from Google for building, evaluating, and deploying sophisticated AI agents. It provides a modular framework for single- and multi-agent systems, with integration, testing, and deployment support for environments such as Cloud Run and Vertex AI Agent Engine. Optimized for the Gemini and Google ecosystem while remaining model- and deployment-agnostic.

Key Features

  • Code-first Python toolkit for building AI agents
  • Modular framework for single- and multi-agent architectures
  • Integration and testing utilities for agent evaluation
  • Deployment support for Cloud Run and Vertex AI Agent Engine
  • Optimized for Gemini and Google ecosystem integrations
  • Model- and deployment-agnostic design
  • Open-source repository maintained by Google

Ideal Use Cases

  • Prototype and iterate on conversational or task-oriented agents
  • Develop multi-agent coordination and evaluation workflows
  • Deploy agents to Cloud Run or Vertex AI Agent Engine
  • Integrate agents with Google Cloud services and tooling
  • Benchmark and test agent behaviors across configurations

Getting Started

  • Clone the GitHub repository.
  • Read the repository README and documentation.
  • Install required Python dependencies.
  • Run included example agents locally.
  • Configure deployment target (Cloud Run or Vertex AI Agent Engine).
  • Adapt agent modules to your application logic.
  • Use provided evaluation tools to test agent behaviors.

Pricing

Open-source project; no pricing information specified in the repository.

Limitations

  • Code-first toolkit — not designed as a no-code solution
  • Primarily optimized for Gemini and Google ecosystem integrations
  • Requires familiarity with Python and Google Cloud services

Key Information

  • Category: Agent Frameworks
  • Type: AI Agent Frameworks Tool
Visit Official Website

Related Tools

AG2

AG2 (formerly AutoGen) is an open-source software platform designed for building AI agents and facilitating multi-agent interactions to solve complex tasks. It supports integration with various large language models and provides various orchestration patterns for AI agents, enabling flexible and efficient tool usage and human collaboration.
elizaOS

A framework for creating autonomous agents, featuring connectors for Discord, Twitter, and Telegram, support for various AI models, multi-agent functionality, document ingestion, and memory storage capabilities.
Smolagents

A barebones framework for building AI agents that support multi-modal inputs and tool integration.
SuperAGI

A dev-first open source autonomous AI agent framework designed for building, managing, and running autonomous agents.
LangChain

A comprehensive framework for building context-aware applications powered by large language models, featuring standard interfaces for models, embeddings, and vector stores.
SmythOS

SmythOS lets you build and deploy AI agents without manual coding. Describe your needs, and Agent Weaver creates it automatically using the best AI models and APIs. Integrate with OpenAI, Hugging Face, Amazon Bedrock, and more—no manual coding required.