AutoGen#
AutoGen
A framework for building AI agents and applications
Magentic-One CLI
pip install -U magentic-one-cli
m1 "Find flights from Seattle to Paris and format the result in a table"
An app for prototyping and managing agents without writing code. Built on AgentChat.
pip install -U autogenstudio
autogenstudio ui --port 8080 --appdir ./myapp
AgentChat
# 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 building conversational agents. Migrating from AutoGen 0.2?.
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 building workflows or distributed agent systems.
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:
LangChainToolAdapterfor using LangChain tools.OpenAIAssistantAgentfor using Assistant API.DockerCommandLineCodeExecutorfor running model-generated code in a Docker container.GrpcWorkerAgentRuntimefor distributed agents.