Setup, Permissions and Limits

The asset is a single documentation-style script, entrypoint google-adk.py, tagged for gemini_cli. It is an install-and-usage note, not a packaged application, and the snapshot shows no installation file besides the script itself.

Upstream concepts named in the README: Agent (instructions, tools, behaviour) and Workflow (graph-based orchestration with routing, fan-out/fan-in, loops, retry, state).

From the supplied risk profile: the file executes code, declares no network access, requires no secrets at rest, does not modify global configuration and does not use absolute paths. Upstream claims such as one-command deployment and MCP compatibility are upstream statements; they were not verified here.

FAQ

Does running the script install ADK? No. It only prints a message; you must run pip install google-adk yourself.

Can the multi-agent example be used as-is? The researcher / writer / SequentialAgent snippet is illustrative. You need your own agent directory and model credentials before adk run works.

Output Checks and Limitations

After pip install google-adk, check the CLI is on your path with adk --help; a command listing confirms the install. After adk run my_agent, an interactive session that answers a prompt confirms the agent loaded. Evaluation upstream uses an .evalset.json file and an eval config through adk eval; deploy paths are adk deploy cloud_run --with_ui <agent-folder> and adk deploy docker --with_ui <agent-folder>.

Limitations: this catalogue ships no my_agent directory, no eval set, no Cloud project and no credentials, so none of those paths were executed. The script is documentation, not a runnable agent. The upstream README at the reviewed commit describes ADK 2.0 with a graph-based Workflow runtime and Task API; the bundled script's snippets use the earlier SequentialAgent style, so treat the script as an illustration and check the current docs at https://adk.dev/ for the exact API of the version you install.

Complete upstream material

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.

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.

✨ 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 feature.

• Tool Confirmation: A tool confirmation flow (HITL) 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:

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://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:

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:

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.

📚 Documentation

• Getting Started: https://adk.dev/
• Guides: See docs/guides/ for task-oriented walkthroughs of agents, tools, events, plugins, and workflows.
• Samples: See 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.
• Code Contributing Guidelines to get started.

Community Repo

We have the adk-python-community repo 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 and the llms-full.txt published on the ADK documentation site 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 to get access to the recording, and deck.

📄 License

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

Happy Agent Building!

Source and license

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