Item — HN Reader

helpful - thanks! I have played with temporal a bit but have this thought that since most AI tools represent state as just a rolling context window, maybe you don't have to serialize and entire call stack and you can cut a bunch of corners.

but we're all probably better off not investing that wheel

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IMO just a rolling message history works for only the simplest of AI tools. Useful agents will tend towards much more complex state that extends into specific verticals/domains.

is that because of more deterministic AI flows like llm-as-judge, rag reranker, post-eval, etc?

do you think something like langgraph state is sufficient?