I have a repository here with similar examples across all those frameworks: https://github.com/Azure-Samples/python-ai-agent-frameworks-...

I started comparing their features in more details in a gist, but it's WIP: https://gist.github.com/pamelafox/c6318cb5d367731ce7ec01340e...

I can flesh that out if it's helpful. I find it fascinating to see where agent frameworks converge and diverge. Generally, the frameworks are converging, which is great for developers, since we can learn a concept in one framework and apply it to another, but there are definitely differences as you get into the edge cases and production-level sophistication.

> It brings together and extends ideas from Semantic Kernel and AutoGen projects, combining their strengths while adding new capabilities

… and giving a hint what will happen to the aforementioned projects.

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It’s a shame when someone’s promotion is tied to how many new things they ship.

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> To learn more about migrating from either Semantic Kernel or AutoGen, see the Migration Guide from Semantic Kernel and Migration Guide from AutoGen.

It seems the motto of Microsoft for the last 15 years: “You won’t have time for new features — all you’ll do is migrations.”

You can also expose the agents as MCP, AGUI and so it can be a tool you integrate with other AI platforms.

Said nobody?

The bitter irony is, Microsoft has since embrace-extend-extinguished Bonzi Buddy spyware tech, building it right into Windows 11. So... they're moving onward to the future I guess?