Agent Development Kit
Agent Development Kit (ADK) is an open-source Python framework that enables developers to build, test, and deploy AI agents with tight integration to Google's ecosystem, particularly Gemini models, offering flexible orchestration, rich tools, and deployment options.
https://google.github.io/adk-docs?ref=aipure
Product Information
Updated:Jun 16, 2025
Agent Development Kit Monthly Traffic Trends
Agent Development Kit received 802.5k visits last month, demonstrating a Slight Decline of -9.6%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Agent Development Kit
Agent Development Kit (ADK) is a flexible and modular framework designed for developers who want fine-grained control when building advanced AI agents. It provides a comprehensive environment for creating both conversational and non-conversational agents capable of handling complex tasks and workflows. Built with Python, ADK allows developers to integrate with popular LLMs and open-source generative AI tools, with special emphasis on Google Cloud services and Gemini models. The framework can be easily installed via pip (google-adk) and provides developers with all necessary tools to start building agents quickly while maintaining the flexibility to create sophisticated multi-agent systems.
Key Features of Agent Development Kit
Agent Development Kit (ADK) is a flexible and modular framework from Google designed for developing, managing, and deploying AI agents. It provides seamless integration with Google's ecosystem and Gemini models while supporting other popular LLMs and open-source generative AI tools. The framework offers comprehensive features including multi-agent orchestration, rich tool integration, built-in evaluation capabilities, and flexible deployment options, making it suitable for both simple and complex AI agent applications.
Multi-Agent Architecture: Enables building scalable applications by composing multiple specialized agents into flexible hierarchies with sophisticated coordination and delegation capabilities
Rich Tool Integration: Provides extensive tool ecosystem including pre-built tools (Google Search, Code Execution), custom function creation, and integration with third-party libraries like LangChain and CrewAI
Flexible Deployment Options: Offers multiple deployment paths including local development, scaling with Vertex AI Agent Engine, or custom infrastructure deployment using Cloud Run or Docker
Built-in Evaluation Framework: Includes systematic assessment tools for evaluating agent performance, response quality, and execution trajectory against predefined test cases
Use Cases of Agent Development Kit
Enterprise Search and Knowledge Management: Create intelligent agents that can search, analyze, and synthesize information across internal documents and knowledge bases using Vertex AI Search integration
Automated Customer Service: Build sophisticated customer service agents that can handle queries, perform searches, and execute complex workflows while maintaining context
Code Analysis and Development: Deploy agents for code analysis, debugging, and development assistance using built-in code execution capabilities and safety features
Process Automation: Create workflow agents that can orchestrate complex business processes by coordinating multiple specialized sub-agents and integrating with enterprise applications
Pros
Deep integration with Google Cloud ecosystem and Gemini models
Comprehensive development toolkit with built-in evaluation and debugging features
Flexible deployment options and scalability
Strong focus on responsible AI and security
Cons
Pre-GA status means limited support and potential stability issues
Primary focus on Google Cloud ecosystem may limit flexibility with other cloud providers
Learning curve for complex multi-agent implementations
How to Use Agent Development Kit
Install ADK: Install the Agent Development Kit using pip: 'pip install google-adk'
Set up environment: Create a .env file and configure Google Cloud credentials. Set up a Google Cloud project if using services like Vertex AI and BigQuery
Define basic agent: Create an agent by importing necessary modules and defining an Agent class with name, model (e.g., gemini-2.0-flash), description, and instructions
Add tools to agent: Equip your agent with tools like google_search, built_in_code_execution, or custom tools by adding them to the agent's tools parameter
Set up multi-agent system: Create specialized agents (e.g., search_agent, coding_agent) and combine them under a root_agent using AgentTool for coordination
Configure runner and session: Set up Runner and SessionService to manage execution flow and maintain conversation state
Test locally: Use 'adk web' command to test in browser-based UI or 'adk api_server' for local FastAPI testing
Evaluate agent: Use ADK's built-in evaluation tools to test agent performance against predefined test cases
Deploy agent: Choose deployment option: Vertex AI Agent Engine for managed scaling, Cloud Run for containerized deployment, or Docker for custom infrastructure
Monitor and maintain: Use ADK's development UI to debug, evaluate, and showcase your agent(s). Monitor performance and make necessary adjustments
Agent Development Kit FAQs
Agent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents. It's designed to work with popular LLMs and open-source generative AI tools, with a focus on tight integration with the Google ecosystem and Gemini models.
Agent Development Kit Video
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Analytics of Agent Development Kit Website
Agent Development Kit Traffic & Rankings
802.5K
Monthly Visits
#46643
Global Rank
#823
Category Rank
Traffic Trends: Feb 2025-May 2025
Agent Development Kit User Insights
00:03:10
Avg. Visit Duration
6.2
Pages Per Visit
49.49%
User Bounce Rate
Top Regions of Agent Development Kit
US: 21.15%
IN: 10.12%
CN: 5.93%
KR: 4.76%
DE: 3.48%
Others: 54.55%
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