all of these frameworks will go away once the model gets really smart. it will just be tool search, tools, and the model

in the short run, ive found the open ai agents one to be the best

If context window is infinite and performance isn't constrained, the subagent stuff isn't necessary. Until then, harnesses are for context management and parallelism.

This approach seems interesting, but in my experience, a single "agent" with proper context management is better than a complicated agent graph. Dealing with hand-off (+ hand back) and multiple levels of conversations just leaves too much room for critical information to get siloed.

If you have a narrow task that doesn't need full context, then agent delegation (putting an agent or inference behind a simple tool call) can be effective. A good example is to front your RAG with a search() tool with a simple "find the answer" agent that deals with the context and can run multiple searches if needed.

I think the PydanticAI framework has the right approach of encouraging Agent Delegation & sequential workflow first and trying to steer you away graphs[0]

[0]:https://ai.pydantic.dev/graph/

I don’t think so. The harness matters a lot for the task at hand, and some harnesses are much better than others for some kinds of problems.