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It is designed to\nsimplify building, deploying, and orchestrating agent workflows, from simple\ntasks to complex systems. While optimized for Gemini, ADK is model-agnostic,\ndeployment-agnostic, and compatible with other frameworks.\n\n______________________________________________________________________\n\n\u003e **⚠️ BREAKING CHANGES FROM 1.x**\n\u003e\n\u003e This release includes breaking changes to the agent API, event model, and\n\u003e session schema. **Sessions generated by ADK 2.0 are readable by ADK 1.28+\n\u003e (extra fields will be ignored), but are incompatible with older 1.x versions.**\n\n______________________________________________________________________\n\n## ✨ Key Features\n\n- **Workflow Runtime**: A graph-based execution engine for composing\n  deterministic execution flows for agentic apps, with support for routing,\n  fan-out/fan-in, loops, retry, state management, dynamic nodes,\n  human-in-the-loop, and nested workflows.\n\n- **Task API**: Structured agent-to-agent delegation with multi-turn task\n  mode, single-turn controlled output, mixed delegation patterns,\n  human-in-the-loop, and task agents as workflow nodes.\n\n- **Modular Multi-Agent Systems**: Design scalable applications by composing\n  multiple specialized agents into flexible hierarchies.\n\n- **Rich Tool Ecosystem**: Utilize pre-built tools, custom functions,\n  OpenAPI specs, MCP tools or integrate existing tools to give agents diverse\n  capabilities, all for tight integration with the Google ecosystem.\n\n- **Code-First Development**: Define agent logic, tools, and orchestration\n  directly in Python for ultimate flexibility, testability, and versioning.\n\n- **Agent Config**: Build agents without code. Check out the\n  [Agent Config](https://google.github.io/adk-docs/agents/config/) feature.\n\n- **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.\n\n- **Deploy Anywhere**: Easily containerize and deploy agents on Cloud Run or\n  scale seamlessly with Vertex AI Agent Engine.\n\n## 🚀 Installation\n\n### Stable Release (Recommended)\n\nYou can install the latest stable version of ADK using `pip`:\n\n```bash\npip install google-adk\n```\n\n**Requirements:** Python 3.10+.\n\nFor transitive dependency protection, we recommend to install with our companion\nconstraints files (for python 3.10 to 3.14).\n\nChoose the constraints file matching your Python version:\n\n```bash\n# For example, for Python 3.10\ncurl -o constraints-3.10.txt https://raw.githubusercontent.com/google/adk-python/main/constraints-3.10.txt\npip install google-adk -c constraints-3.10.txt\nrm constraints-3.10.txt\n```\n\nTo install optional integrations, you can use the following command:\n\n```bash\npip install \"google-adk[extensions]\"\n```\n\nThe release cadence is roughly bi-weekly.\n\n### Development Version\n\nBug 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:\n\n```bash\npip install git+https://github.com/google/adk-python.git@main\n```\n\nNote: 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.\n\n## Quick Start\n\n\u003e **Beginner Note:** ADK applications are built using two main classes:\n\u003e **`Agent`** (defines an AI's instructions, tools, and behavior) and\n\u003e **`Workflow`** (orchestrates agents and tasks in a graph-based flow).\n\n### Agent\n\n```python\nfrom google.adk import Agent\n\nroot_agent = Agent(\n    name=\"greeting_agent\",\n    model=\"gemini-2.5-flash\",\n    instruction=\"You are a helpful assistant. Greet the user warmly.\",\n)\n```\n\n### Workflow\n\n```python\nfrom google.adk import Agent, Workflow\n\ngenerate_fruit_agent = Agent(\n    name=\"generate_fruit_agent\",\n    instruction=\"Return the name of a random fruit. Return only the name.\",\n)\n\ngenerate_benefit_agent = Agent(\n    name=\"generate_benefit_agent\",\n    instruction=\"Tell me a health benefit about the specified fruit.\",\n)\n\nroot_agent = Workflow(\n    name=\"root_agent\",\n    edges=[(\"START\", generate_fruit_agent, generate_benefit_agent)],\n)\n```\n\n### Run Locally\n\n```bash\n# Interactive CLI\nadk run path/to/my_agent\n\n# Web UI (supports multi-agent directories or pointing directly to a single agent folder)\nadk web path/to/agents_dir\n```\n\n### Development UI\n\nA built-in development UI to help you test, evaluate, debug, and showcase your agent(s).\n\n[![ADK Web UI](https://raw.githubusercontent.com/google/adk-python/main/assets/adk-web-dev-ui.png)](https://youtu.be/TEjqk0eeNy8)\n\n[![Watch on YouTube](https://img.shields.io/badge/YouTube-Watch%20ADK%20Web%20Demo-FF0000?style=flat\u0026logo=youtube\u0026logoColor=white)](https://youtu.be/TEjqk0eeNy8)\n\n### Evaluate Agents\n\n```bash\nadk eval \\\n    samples_for_testing/hello_world \\\n    samples_for_testing/hello_world/hello_world_eval_set_001.evalset.json\n```\n\n## 📚 Documentation\n\n- **Getting Started**: https://google.github.io/adk-docs/\n- **Guides**: See\n  [`docs/guides/`](https://github.com/google/adk-python/tree/main/docs/guides)\n  for task-oriented walkthroughs of agents, tools, events, plugins, and\n  workflows.\n- **Samples**: See\n  [`contributing/samples/`](https://github.com/google/adk-python/tree/main/contributing/samples)\n  for runnable example agents.\n\n## 🤝 Contributing\n\nWe welcome contributions from the community! Whether it's bug reports, feature requests, documentation improvements, or code contributions, please see our:\n\n- [General contribution guideline and flow](https://google.github.io/adk-docs/contributing-guide/).\n- [Code Contributing Guidelines](./CONTRIBUTING.md) to get started.\n\n## Community Repo\n\nWe 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\nservice integrations, and deployment scripts that extend the core capabilities\nof the ADK.\n\n## Vibe Coding\n\nIf 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.\n\n## Community Events\n\n- [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\u0026resourcekey=0-tjFFv0VBQhpXBPCkZr0NOg#slide=id.g384e60cdaca_0_658).\n\n## 📄 License\n\nThis project is licensed under the Apache 2.0 License — see the\n[LICENSE](LICENSE) file for details.\n\n______________________________________________________________________\n\n*Happy Agent Building!*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle%2Fadk-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgoogle%2Fadk-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle%2Fadk-python/lists"}