Agent Development Kit (ADK) 2.0


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.

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> ⚠️ 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.**

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🔥 What's New in 2.0

• 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.

🚀 Installation

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:

# For example, for Python 3.10
curl -o constraints-3.10.txt https://github.com/google/adk-python/blob/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:

pip install "google-adk[extensions]"

The release cadence is roughly bi-weekly.

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

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

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

# 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

📚 Documentation

• Getting Started: https://google.github.io/adk-docs/
• Samples: See contributing/workflow_samples/ and

contributing/task_samples/ for workflow and task API examples.

🤝 Contributing

See CONTRIBUTING.md for details.

📄 License

This project is licensed under the Apache 2.0 License — see the
LICENSE file for details.