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So essentially a long running process that responds to events etc. So my understanding is now: when stuff happens, say a database gets updated, or a timer triggers, the agent wrangles the data and passes it to OpenAI for some LLM heavy lifting, then wrangles what is returned somehow. Is that correct?


Yeah, but the value they provide IMO (or promise to, it’s only promised in the readme, not shown) is the observability.

Creating one of these event driven systems is somewhat trivial. Node has event emitter built in for example.

Being able to monitor, debug, scale it and ensure it’s robust to failure is much harder.

In that respect it sounds kinda like tray.io. [1]

1: https://youtu.be/g_2HNv8HZcA


That is correct




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