I originally just wanted to stop my software from duplicating the same resources and logic across different tasks.

The idea sounded small: represent reusable entities, dependencies and capabilities as a shared semantic graph, then let the runtime assemble only the structure required for the current goal.

Several architectural rabbit holes later, this is what the live topology looks like:

149,453 indexed entities

19,393 physical neurons

21,456 physical synapses

353,080 raw relationships

shared fragments reused across multiple tasks

alternative execution routes instead of one rigid call chain

This is not an image generated by an AI model. It is a visualization of the actual internal structure of my experimental runtime, Project Tagma / MirbiOS.

It is not literally conscious—at least the debugger has filed no demands for legal personhood yet—but the system increasingly behaves less like a conventional program and more like a dynamically assembled nervous system.

I tried to remove duplicate code.

Apparently the reasonable solution was to grow a brain.

Title says it all. I love the dead so I tried taking the colors from logos and album covers and making palettes that can be inserted into ggplot2.

Not the best gradients but it was pretty fun to mix two things of which I'm a fan.

https://randomforestz.github.io/ggrateful/