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: ----- Parent (Plan and Adjust): Chief Revenue Officer / VP Sales Children (Do and Check): 3 Sales Development Representatives; 2 Account Managers; 1 Market Researcher. 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. ----- Curious to hear your feedback first HN, we're launching on Twitter tomorrow! |