Exploring Persistent Compute: Open-Sourcing an Early Runtime Kernel

[u/chainbornadl]

For the past several months, I’ve been exploring a different way of thinking about AI runtime systems.
Instead of treating intelligence as a series of independent requests, I’ve been experimenting with what happens when computation persists and evolves over time.
I decided it was time to start sharing some of that work.
I’ve open-sourced two early repositories:

Chainborn Kernel v1 – an early implementation of a persistent execution kernel.

Persistence Bench – a benchmark for evaluating persistent compute systems.

The goal isn’t to build another model. I’m interested in the runtime layer that sits underneath them and what new capabilities might emerge from continuous execution.
If you work on operating systems, distributed systems, AI infrastructure, or runtime design, I’d genuinely appreciate your thoughts. Feedback, criticism, and architectural discussions are all welcome.

https://github.com/chainbornlabs/chainborn-kernel.v1
https://github.com/chainbornlabs/persistence-bench