2 posts tagged with "comparison"

If you're building AI agents in 2026 and you're not sure which framework to bet on, you're probably looking at three names: LangChain (Python, with a community .NET port), Microsoft Semantic Kernel (.NET, official), and LogicGrid (.NET-native, what you're reading about now).

This post compares the three honestly. None of them is the right answer for everyone. The goal here is to give you concrete criteria for choosing.

If you're building an AI feature in .NET in 2026, the first framework you hear about is Microsoft Semantic Kernel. It's well-funded, actively maintained, and integrates deeply with Azure. For most projects, that's a fine starting point.

But "fine for most" is not "right for all." Over the last few months we've talked to teams who started with Semantic Kernel and ended up looking for something else. The reasons cluster around three themes: local LLM support, observability, and dependency footprint.

This post is an honest comparison — not a hit piece. Semantic Kernel is a real piece of engineering. We just think it's worth understanding what trade-offs it makes, and what an alternative shaped around different priorities looks like.