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https://github.com/google/adk-python

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
https://github.com/google/adk-python

agent agentic agentic-ai agents agents-sdk ai ai-agents aiagentframework genai genai-chatbot llm llms multi-agent multi-agent-systems multi-agents multi-agents-collaboration

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An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

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README 

          
# Agent Development Kit (ADK) 2.0



[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE)

[![PyPI version](https://img.shields.io/pypi/v/google-adk.svg)](https://pypi.org/project/google-adk/)

[![Python versions](https://img.shields.io/pypi/pyversions/google-adk.svg)](https://pypi.org/project/google-adk/)

[![PyPI downloads](https://static.pepy.tech/badge/google-adk/month)](https://pepy.tech/project/google-adk)

[![Continuous Integration](https://github.com/google/adk-python/actions/workflows/continuous-integration.yml/badge.svg)](https://github.com/google/adk-python/actions/workflows/continuous-integration.yml)

[![Docs](https://img.shields.io/badge/docs-latest-blue.svg)](https://google.github.io/adk-docs/)

[![r/agentdevelopmentkit](https://img.shields.io/badge/Reddit-r%2Fagentdevelopmentkit-FF4500?style=flat&logo=reddit&logoColor=white)](https://www.reddit.com/r/agentdevelopmentkit/)

Ask Code Wiki





  





  An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.





  Important Links:

  Docs,

  Samples &

  ADK Web.





  ADK in other languages:

  ADK Java,

  ADK Kotlin,

  ADK Go &

  ADK Typescript.




Agent Development Kit (ADK) is a flexible and modular framework that applies

software development principles to AI agent creation. It is designed to

simplify building, deploying, and orchestrating agent workflows, from simple

tasks to complex systems. While optimized for Gemini, ADK is model-agnostic,

deployment-agnostic, and compatible with other frameworks.



______________________________________________________________________



> **⚠️ BREAKING CHANGES FROM 1.x**

>

> This release includes breaking changes to the agent API, event model, and

> session schema. **Sessions generated by ADK 2.0 are readable by ADK 1.28+

> (extra fields will be ignored), but are incompatible with older 1.x versions.**



______________________________________________________________________



## ✨ Key Features



- **Workflow Runtime**: A graph-based execution engine for composing

  deterministic execution flows for agentic apps, with support for routing,

  fan-out/fan-in, loops, retry, state management, dynamic nodes,

  human-in-the-loop, and nested workflows.



- **Task API**: Structured agent-to-agent delegation with multi-turn task

  mode, single-turn controlled output, mixed delegation patterns,

  human-in-the-loop, and task agents as workflow nodes.



- **Modular Multi-Agent Systems**: Design scalable applications by composing

  multiple specialized agents into flexible hierarchies.



- **Rich Tool Ecosystem**: Utilize pre-built tools, custom functions,

  OpenAPI specs, MCP tools or integrate existing tools to give agents diverse

  capabilities, all for tight integration with the Google ecosystem.



- **Code-First Development**: Define agent logic, tools, and orchestration

  directly in Python for ultimate flexibility, testability, and versioning.



- **Agent Config**: Build agents without code. Check out the

  [Agent Config](https://google.github.io/adk-docs/agents/config/) feature.



- **Tool Confirmation**: A [tool confirmation flow (HITL)](https://google.github.io/adk-docs/tools/confirmation/) that can guard tool execution with explicit confirmation and custom input.



- **Deploy Anywhere**: Easily containerize and deploy agents on Cloud Run or

  scale seamlessly with Vertex AI Agent Engine.



## 🚀 Installation



### Stable Release (Recommended)



You can install the latest stable version of ADK using `pip`:



```bash

pip install google-adk

```



**Requirements:** Python 3.10+.



For transitive dependency protection, we recommend to install with our companion

constraints files (for python 3.10 to 3.14).



Choose the constraints file matching your Python version:



```bash

# For example, for Python 3.10

curl -o constraints-3.10.txt https://raw.githubusercontent.com/google/adk-python/main/constraints-3.10.txt

pip install google-adk -c constraints-3.10.txt

rm constraints-3.10.txt

```



To install optional integrations, you can use the following command:



```bash

pip install "google-adk[extensions]"

```



The release cadence is roughly bi-weekly.



### Development Version



Bug fixes and new features are merged into the main branch on GitHub first. If you need access to changes that haven't been included in an official PyPI release yet, you can install directly from the main branch:



```bash

pip install git+https://github.com/google/adk-python.git@main

```



Note: The development version is built directly from the latest code commits. While it includes the newest fixes and features, it may also contain experimental changes or bugs not present in the stable release. Use it primarily for testing upcoming changes or accessing critical fixes before they are officially released.



## Quick Start



> **Beginner Note:** ADK applications are built using two main classes:

> **`Agent`** (defines an AI's instructions, tools, and behavior) and

> **`Workflow`** (orchestrates agents and tasks in a graph-based flow).



### Agent



```python

from google.adk import Agent



root_agent = Agent(

    name="greeting_agent",

    model="gemini-2.5-flash",

    instruction="You are a helpful assistant. Greet the user warmly.",

)

```



### Workflow



```python

from google.adk import Agent, Workflow



generate_fruit_agent = Agent(

    name="generate_fruit_agent",

    instruction="Return the name of a random fruit. Return only the name.",

)



generate_benefit_agent = Agent(

    name="generate_benefit_agent",

    instruction="Tell me a health benefit about the specified fruit.",

)



root_agent = Workflow(

    name="root_agent",

    edges=[("START", generate_fruit_agent, generate_benefit_agent)],

)

```



### Run Locally



```bash

# Interactive CLI

adk run path/to/my_agent



# Web UI (supports multi-agent directories or pointing directly to a single agent folder)

adk web path/to/agents_dir

```



### Development UI



A built-in development UI to help you test, evaluate, debug, and showcase your agent(s).



[![ADK Web UI](https://raw.githubusercontent.com/google/adk-python/main/assets/adk-web-dev-ui.png)](https://youtu.be/TEjqk0eeNy8)



[![Watch on YouTube](https://img.shields.io/badge/YouTube-Watch%20ADK%20Web%20Demo-FF0000?style=flat&logo=youtube&logoColor=white)](https://youtu.be/TEjqk0eeNy8)



### Evaluate Agents



```bash

adk eval \

    samples_for_testing/hello_world \

    samples_for_testing/hello_world/hello_world_eval_set_001.evalset.json

```



## 📚 Documentation



- **Getting Started**: https://google.github.io/adk-docs/

- **Guides**: See

  [`docs/guides/`](https://github.com/google/adk-python/tree/main/docs/guides)

  for task-oriented walkthroughs of agents, tools, events, plugins, and

  workflows.

- **Samples**: See

  [`contributing/samples/`](https://github.com/google/adk-python/tree/main/contributing/samples)

  for runnable example agents.



## 🤝 Contributing



We welcome contributions from the community! Whether it's bug reports, feature requests, documentation improvements, or code contributions, please see our:



- [General contribution guideline and flow](https://google.github.io/adk-docs/contributing-guide/).

- [Code Contributing Guidelines](./CONTRIBUTING.md) to get started.



## Community Repo



We have the [adk-python-community repo](https://github.com/google/adk-python-community) that is home to a growing ecosystem of community-contributed tools, third-party

service integrations, and deployment scripts that extend the core capabilities

of the ADK.



## Vibe Coding



If you want to develop an agent via vibe coding the [llms.txt](./llms.txt) and the [llms-full.txt](./llms-full.txt) can be used as context to an LLM. While the former one is a summarized one and the latter one has the full information in case your LLM has a big enough context window.



## Community Events



- [Completed] ADK's 1st community meeting on Wednesday, October 15, 2025. Remember to [join our group](https://groups.google.com/g/adk-community) to get access to the [recording](https://drive.google.com/file/d/1rpXDq5NSH8-MyMeYI6_5pZ3Lhn0X9BQf/view), and [deck](https://docs.google.com/presentation/d/1_b8LG4xaiadbUUDzyNiapSFyxanc9ZgFdw7JQ6zmZ9Q/edit?slide=id.g384e60cdaca_0_658&resourcekey=0-tjFFv0VBQhpXBPCkZr0NOg#slide=id.g384e60cdaca_0_658).



## 📄 License



This project is licensed under the Apache 2.0 License — see the

[LICENSE](LICENSE) file for details.



______________________________________________________________________



*Happy Agent Building!*