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Show HN: Agent Actors – Plan-Do-Check-Adjust with Parallelized LLM Agent Trees (github.com)

8 points by knrz ↗ HN
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:

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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.

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Curious to hear your feedback first HN, we're launching on Twitter tomorrow!

3 comments

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olahmoon
This is brilliant and incredibly useful. Also easy to customize.
mitko
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.
knrz
I found modelling them as humans made it easier to imagine how to structure them, but there's nothing saying that's it's a better way to model your agent tree. Would be curious for somebody to use this to run some experiments with different names/traits for the fractal agent tree.