AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
AutoGen requires Python 3.10 or later.
# Install AgentChat and OpenAI client from Extensions pip install -U "autogen-agentchat" "autogen-ext[openai]"
The current stable version is v0.4. If you are upgrading from AutoGen v0.2, please refer to the Migration Guide for detailed instructions on how to update your code and configurations.
# Install AutoGen Studio for no-code GUI pip install -U "autogenstudio"
Create an assistant agent using OpenAI's GPT-4o model. See other supported models.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
async def main() -> None:
model_client = OpenAIChatCompletionClient(model="gpt-4o")
agent = AssistantAgent("assistant", model_client=model_client)
print(await agent.run(task="Say 'Hello World!'"))
await model_client.close()
asyncio.run(main())
Create a web browsing assistant agent that uses the Playwright MCP server.
# First run `npm install -g @playwright/mcp@latest` to install the MCP server.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.ui import Console
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StdioServerParams
async def main() -> None:
model_client = OpenAIChatCompletionClient(model="gpt-4.1")
server_params = StdioServerParams(
command="npx",
args=[
"@playwright/mcp@latest",
"--headless",
],
)
async with McpWorkbench(server_params) as mcp:
agent = AssistantAgent(
"web_browsing_assistant",
model_client=model_client,
workbench=mcp, # For multiple MCP servers, put them in a list.
model_client_stream=True,
max_tool_iterations=10,
)
await Console(agent.run_stream(task="Find out how many contributors for the microsoft/autogen repository"))
asyncio.run(main())
Warning: Only connect to trusted MCP servers as they may execute commands in your local environment or expose sensitive information.
Use AutoGen Studio to prototype and run multi-agent workflows without writing code.
# Run AutoGen Studio on http://localhost:8080 autogenstudio ui --port 8080 --appdir ./my-app
The AutoGen ecosystem provides everything you need to create AI agents, especially multi-agent workflows -- framework, developer tools, and applications.
The framework uses a layered and extensible design. Layers have clearly divided responsibilities and build on top of layers below. This design enables you to use the framework at different levels of abstraction, from high-level APIs to low-level components.
The ecosystem also supports two essential developer tools:
You can use the AutoGen framework and developer tools to create applications for your domain. For example, Magentic-One is a state-of-the-art multi-agent team built using AgentChat API and Extensions API that can handle a variety of tasks that require web browsing, code execution, and file handling.
With AutoGen you get to join and contribute to a thriving ecosystem. We host weekly office hours and talks with maintainers and community. We also have a Discord server for real-time chat, GitHub Discussions for Q&A, and a blog for tutorials and updates.
Interested in contributing? See CONTRIBUTING.md for guidelines on how to get started. We welcome contributions of all kinds, including bug fixes, new features, and documentation improvements. Join our community and help us make AutoGen better!
Have questions? Check out our Frequently Asked Questions (FAQ) for answers to common queries. If you don't find what you're looking for, feel free to ask in our GitHub Discussions or join our Discord server for real-time support. You can also read our blog for updates.
Microsoft and any contributors grant you a license to the Microsoft documentation and other content in this repository under the Creative Commons Attribution 4.0 International Public License, see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the LICENSE-CODE file.
Microsoft, Windows, Microsoft Azure, and/or other Microsoft products and services referenced in the documentation may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries. The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks. Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.
Privacy information can be found at https://go.microsoft.com/fwlink/?LinkId=521839
Microsoft and any contributors reserve all other rights, whether under their respective copyrights, patents, or trademarks, whether by implication, estoppel, or otherwise.
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