
CrewAI gives each agent a role, a goal and a backstory, then hands the crew a list of tasks. The metaphor is its greatest strength and its sharpest limitation.
Everything in the Alpaca Mango archives filed under #python.

CrewAI gives each agent a role, a goal and a backstory, then hands the crew a list of tasks. The metaphor is its greatest strength and its sharpest limitation.

AutoGen came out of Microsoft Research and modelled work as a conversation between agents. It is now in maintenance mode, superseded by Microsoft Agent Framework — here is what it did, and what carries over.

AutoGen is in maintenance mode and Microsoft points new users at Agent Framework. The underlying question still stands — so here is CrewAI against MAF, and the distinction that decides it.

One is the validation library half of Python already depends on. The other is an agent framework built on it by the same team. The confusion is understandable and the answer is short.

OpenAI's own agent framework is notable for how little it does. Four concepts, a short learning curve, and a very direct relationship with one provider.

They are not competitors, and picking between them is a category error. LangChain gives you the parts; LangGraph decides the order they run in — and lets you see it.