@irl_danB: everyone is building an agent or a tool you don't want an agent or a tool, you want a reactor I've been working on some…

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Summary

A developer introduces a concept called a 'reactor' — an agent session DAG that maintains a memoized world-model using OpenProse markdown files and the openai-agents-sdk, drawing parallels to React and dataflow.

everyone is building an agent or a tool you don't want an agent or a tool, you want a reactor I've been working on something cool and I think you'll like it it's simple: an agent session DAG that keeps a declared world-model up to date in an efficient (memoized) render each render node is an agent session: you declare the desired state with OpenProse markdown files once invoked, each agent session acts as the provider. the agent session uses the open source openai-agents-sdk, extensible however you like with any model (I use with opus, sonnet, haiku) the facets of the world-state are memoized, so not every agent has to run on every event, saving you on inference if that sounds a lot like React or dataflow, that's because even in our brave new world the wisdom of the agents holds fast
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Cached at: 06/03/26, 11:56 PM

everyone is building an agent or a tool

you don’t want an agent or a tool, you want a reactor

I’ve been working on something cool and I think you’ll like it

it’s simple: an agent session DAG that keeps a declared world-model up to date in an efficient (memoized) render

each render node is an agent session: you declare the desired state with OpenProse markdown files

once invoked, each agent session acts as the provider. the agent session uses the open source openai-agents-sdk, extensible however you like with any model (I use with opus, sonnet, haiku)

the facets of the world-state are memoized, so not every agent has to run on every event, saving you on inference

if that sounds a lot like React or dataflow, that’s because even in our brave new world the wisdom of the agents holds fast

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