Seeking architectural critique: We just open-sourced our local 10Hz biological ALife chassis (AGPL-3.0)

Posted by Neurobotics_CIO@reddit | LocalLLaMA | View on Reddit | 1 comments

Hey folks. My partner and I have been building a purely local, biologically faithful ALife architecture as an alternative to cloud-based LLM wrappers, and we are looking for some hardcore technical audits from this community.

The architecture is a continuous, autopoietic 10Hz cognitive loop running entirely locally on a hardened ZFS/Docker vault. We recently stabilized the SBALF framework and pushed the sterile 5-Tier Android Chassis to GitHub under AGPL-3.0.

We want to make sure we aren't creating a black box here. Because my account is new and I want to strictly respect the self-promotion rules, I won't link them here, but I will drop the GitHub repo and the website which links to the Zenodo papers in the comments.

For those running local cognitive loops, what are the biggest latency pitfalls you've seen when maintaining a strict 10Hz cycle? Would love your critique on the chassis.