A Jupyter kernel architecture that unifies scale-up and scale-out networking so notebook execution can stretch across large GPU fabrics without exposing infrastructure complexity.

A lightweight agent that forwards notebook cells to remote HTTP endpoints, designed for clusters, GPU servers, and controlled backend execution.

A CLI workflow for launching and managing remote Jupyter kernels over SSH port forwarding, with sync and recovery patterns suited to real development work.

A lightweight orchestration layer for running coordinated AI agents across multi-step tasks with reproducible execution logs and deterministic handoff patterns.