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Google ADK
Open source toolkit
Best for developers
Code-first agent building
Multi-agent support
An open-source, code-first Python toolkit for building sophisticated AI agents.
Last updated: Apr 25, 2026
OPEN_SOURCE
google.github.io
Quick Answer
Google ADK is an open-source, code-first Python toolkit that empowers developers to build, evaluate, and deploy sophisticated AI agents and multi-agent systems. It offers flexibility and control over agent design and supports various LLMs. Best for experienced developers and AI engineers building custom, complex agentic solutions. It is free and open source.
About Google ADK
Google ADK is an open-source, code-first Python toolkit designed for developers to build, evaluate, and deploy sophisticated AI agents. It provides flexibility and control for creating single and multi-agent systems, supporting various LLMs and agentic workflows. As an open-source project, it offers a robust foundation for custom AI solutions.
What Makes It Unique
Google ADK stands out as a code-first Python toolkit, offering developers granular control and flexibility in building, evaluating, and deploying complex AI agents and multi-agent systems, rather than a pre-built agent or a low-code platform.
Use Cases & Target Users
Best For
Developing custom AI agents for specific tasks
Building multi-agent orchestration systems
Experimenting with agentic AI workflows
Deploying AI agents with fine-grained control
Company Size
SOLO
SMALL
MEDIUM
ENTERPRISE
Fit Score
Complexity
ADVANCED
Target Team Size
INDIVIDUAL
SMALL_TEAM
LARGE_TEAM
Target Skill Level
EXPERT
Key Features
Code-first Python toolkit for agent development
Building single and multi-agent systems
Evaluation capabilities for AI agents
Deployment support for sophisticated agents
Flexibility and control over agent design
Support for various LLM backends
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
SELF_HOSTED
Pros
- +Open-source and free to use, fostering community contributions
- +Code-first approach provides maximum flexibility and control for developers
- +Designed for building sophisticated single and multi-agent systems
- +Backed by Google, implying robust engineering and potential for future development
Limitations
- -Requires strong Python programming skills, not suitable for non-developers
- -No visual interface or low-code options for rapid prototyping
- -Lacks built-in cloud hosting or managed services, requiring self-deployment
- -Limited explicit integrations mentioned, relying on developer implementation
Decision Intelligence
Best For
Developing custom AI agents for specific tasks
Building multi-agent orchestration systems
Experimenting with agentic AI workflows
Deploying AI agents with fine-grained control
Not Ideal For
Non-technical users seeking no-code agent builders
Businesses needing a fully managed, hosted agent platform
Users looking for pre-built, off-the-shelf AI agents
Individuals without Python programming experience
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use3/10
Output Quality7/10
Value for Money9/10
Customization5/10
Support6/10
Integration1/10
Task Scores
Workflow Building
8
Api Connectivity
8
Multi Step Chains
8
Conditional Logic
7
Autonomous Execution
7
Error Handling
6
Monitoring Logging
6
Action Library
5
Trust Score
13/100
Limited Data
Based on 3 data signals
Reflects publicly available data, not an independent audit
Company Strength5/25
Company ListedGoogle
Operational Trust8/20
Data Residency
Open Source18.4K stars
Switching & Migration
Migration Difficulty
Moderate Effort
Data portable as:
PDF
CSV
JSON
IMAGES
AUDIO
VIDEO
TEXT
Quick Stats
Company & Links