Why Agent Frameworks End Up As SDK Wrappers - And How To Overcome It

Today, most frameworks for building AI agents are missing something fundamental. If you look closely at the language they use, you'll notice a pattern: their domain models are anemic. They give you abstractions like "agent", "tool", "step", but they don't actually model the thing that matters most - context. Because of that, developers are left on their own to deal with problems like: context window overflow context bloating loss of structure across multiple model calls messy handling of tool outputs and reasoning And where does all of that logic end up? In your application layer.