AutoGen
Microsoft's framework for building multi-agent AI systems where agents collaborate, debate, and solve complex tasks conversationally.
MIT
Python
Why AutoGen?
Building multi-agent pipelines where agents review each other's work
Research and prototyping with autonomous agent loops
Complex code generation tasks requiring agent collaboration
Signal Breakdown
What drives the Trust Score
Download Trend
Last 12 months
Tradeoffs & Caveats
Know before you commitProduction apps needing strict determinism — agent loops can be unpredictable
Simple single-turn tasks — overkill for straightforward LLM calls
Pricing
Free tier & paid plans
Open source, free to use
Free & open-source
Alternative Tools
Other options worth considering
Framework for orchestrating role-based AI agents that collaborate to solve complex tasks. Each agent has specialized roles, goals, and tools, working together like a software development team.
Type-safe Python agent framework from the Pydantic team — build agents with structured inputs/outputs validated by Pydantic models.
Often Used Together
Complementary tools that pair well with AutoGen
Learning Resources
Docs, videos, tutorials, and courses
Get Started
Repository and installation options
View on GitHub
github.com/microsoft/autogen
pip install pyautogenQuick Start
Copy and adapt to get going fast
import autogen
llm_config = {"model": "gpt-4o", "api_key": "YOUR_API_KEY"}
assistant = autogen.AssistantAgent("assistant", llm_config=llm_config)
user_proxy = autogen.UserProxyAgent("user_proxy", human_input_mode="NEVER")
user_proxy.initiate_chat(assistant, message="Write a Python fibonacci function.")Community Notes
Real experiences from developers who've used this tool