Studio

An web-based UI for prototyping with agents without writing code. Built on AgentChat.

pip install -U autogenstudio
autogenstudio ui --port 8080 --appdir ./myapp

Start here if you are new to AutoGen and want to prototype with agents without writing code.

# pip install -U "autogen-agentchat" "autogen-ext[openai]"
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

async def main() -> None:
    agent = AssistantAgent("assistant", OpenAIChatCompletionClient(model="gpt-4o"))
    print(await agent.run(task="Say 'Hello World!'"))

asyncio.run(main())

Start here if you are prototyping with agents using Python. Migrating from AutoGen 0.2?.

Core

An event-driven programming framework for building scalable multi-agent AI systems. Example scenarios:

• Deterministic and dynamic agentic workflows for business processes.

• Research on multi-agent collaboration.

• Distributed agents for multi-language applications.

Start here if you are getting serious about building multi-agent systems.

Extensions

Implementations of Core and AgentChat components that interface with external services or other libraries. You can find and use community extensions or create your own. Examples of built-in extensions:

• McpWorkbench for using Model-Context Protocol (MCP) servers.

• OpenAIAssistantAgent for using Assistant API.

• DockerCommandLineCodeExecutor for running model-generated code in a Docker container.

• GrpcWorkerAgentRuntime for distributed agents.