This 100%.

Frameworks like these, and I include Microsoft Semantic kernel and Google' Agent2Agent, just get in the way. Fact is that Agent development is still in early stages. We daily learn more about how to get the most out of LLMs. It used to be "prompt engineering", this morning HN is talking about "Context engineering".

Abstractions and frameworks like these will obfuscate insights one would gain by using LLM +tools etc directly.

This framework uses Goal Oriented Action Planning to plan based on typed outcomes, which is interestingly different from other frameworks.

What you're describing sounds more like what Spring AI provides for Spring applications. Embabel builds on top of Spring AI with higher-level abstractions that go beyond this. It's still early days for Embabel, but the approach seems interesting to me, so I'll be keeping an eye on it.