Looking at recent tutorials and GitHub stars, I'm worried about the ecosystem. Is Microsoft AutoGen still relevant after LangGraph in terms of community contributions and third-party integrations? I don't want to build on a framework that will lose support in a year as everyone moves to graph-based agents.
3 answers
While LangGraph has seen a massive surge due to its ties to LangChain, AutoGen's community is incredibly deep and technically proficient. Because it’s a Microsoft-backed project, it has strong institutional support and a very active research community. Microsoft AutoGen still relevant after LangGraph because it remains the standard for academic research into multi-agent collaboration. We are seeing more integrations with cloud platforms like Azure, which ensures its longevity in the corporate world. The open-source community for AutoGen is very focused on advanced patterns like tiered-reasoning and specialized agents, which keeps the ecosystem vibrant.
Pamela, do you think Microsoft's push for "Copilot Studio" will eventually swallow up the AutoGen project, or will it remain a standalone open-source library?
AutoGen is far from dead. It has a massive head start in the multi-agent space and is still the go-to for many non-LangChain developers.
Very true. The diversity in the AI agent space is a good thing. LangGraph is a specialized tool, but AutoGen is a versatile platform.
Patrick, Copilot Studio actually uses AutoGen principles under the hood. Microsoft usually keeps these open-source frameworks alive to drive innovation that they can later refine for their paid products. I expect AutoGen to remain the "pro" playground for developers who want more control than a low-code UI offers.