What it is
Continuon is an embodied-AI project built on a simple idea borrowed from the Unix philosophy: one brain, many shells. Instead of a separate model baked into each robot, a single persistent brain carries memory and context across whatever body it is currently driving, so what a robot learns in one shell is available in the next.
Alongside the brain is ContinuonXR, a spatial-computing interface for controlling and observing robots in the room with you rather than through a flat dashboard.
Where it sits in the stack
Continuon is also where a load-bearing piece of the OpenCastor edition of PlatAtlas lives: the continuonai GitHub org stewards RCAN, the wire protocol underneath the whole robotics stack, with its official Python and TypeScript SDKs. So Continuon is both a direction I am exploring for home robotics and the home of the protocol that lets any agent speak to a robot with signed, verifiable messages.
This one is earlier-stage than PlatAtlas and OpenCastor, closer to the Prototyper end of what I do: a place to try ideas about persistence, embodiment, and spatial control before they harden into the platform.