We built something like this by hand without much difficulty for a product concept. We'd initially used LangGraph but we ditched it and built our own out of revenge for LangGraph wasting our time with what could've simply been an ordinary python function.

Never again committing to any "framework", especially when something like Claude Code can write one for you from scratch exactly for what you want.

We have code on demand. Shallow libraries and frameworks are dead.

Not exactly a surprise Claude did this out of the box with minimal prompting considering they’ve presumably been RLing the hell out of it for agent teams: https://code.claude.com/docs/en/agent-teams

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

I wonder if the “spawn” API is ever preferable over “fork”. Do we really want to remove context if we can help it? There will certainly be situations where we have to, but then what you want is good compaction for the subagent. “Clean-slate” compaction seems like it would always be suboptimal.

Feels very AI written in a way that makes it annoying to read with all the repetitive short sentences.

Neat concept though, would be cool to see some tests of performance on some tasks.

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