Hey HN! Been working on this library for architecting stateful LLM agent trees that execute in parallel. Think of it like a AI scheduler for BabyAGIs or AutoGPTs, like:<p>-----<p>Parent (Plan and Adjust): Chief Revenue Officer / VP Sales<p>Children (Do and Check): 3 Sales Development Representatives; 2 Account Managers; 1 Market Researcher.<p>You can give the CRO a task and it will break it down, distribute it appropriately to its children, and the children will work in parallel on the task.<p>-----<p>Curious to hear your feedback first HN, we're launching on Twitter tomorrow!
The VP of Sales is interesting. I would imagine that agents wouldn't look like the traditional human roles, but would stack fractally under each other, like functions in code do.