I think this article points out a bunch of ways in which a persistent agent orchestrator does directly analogous things to an OS.
I'm building a kind of orchestrator and I haven't thought of the OS analogy in a serious way other than the interface, but indeed I do already have scheduling, isolation, observability and identity, and I'm currently building a filesystem (versioned project-wide agentic artifacts).
Maybe I really do ought to call my project an "agentic desktop OS" and it isn't a misnomer after all.
I am also pursuing something similar (complementary?) to this (recently started writing a Rust-based "distributed OS" that manages ML resources in a network of heterogenous systems: varied cores, system RAM, GPU VRAM, I/O). So my focus is not so much distributed agents, but more distributed inference (and fine tuning) that would benefit agents, distributed or not. I may blog about my work soon.
Thanks, softwarewright; would love to hear more about your work. I've been implementing small-model inference in Zug inside WunderOS, but it's not done yet, so nothing public just yet.
I'm in a research/prototyping phase with no truly verified results yet, but I have all the hardware I need to do actual testing. I have an OS that boots in a VM, it just isn't verified to have practical value yet. It could be an AI coding agent's fever dream until I use it anger. So far Apple Silicon only, but most of my systems run Linux and most of my GPUs are NVIDIA, so moving development from Mac to Linux soon. It does have tests, demos, docs. Iterating on it daily.
I should clarify that by Apple Silicon I mean it boots Rust no_std on ARM. Does not use GPU yet. Plan is to use Rust without CUDA libraries. This project is more likely to use an NPU on a ARM dev board before it can use an NVIDIA GPU, and might never be able to use Apple GPUs. Goal: run on no-longer-supported by CUDA GPUs.
I think this article points out a bunch of ways in which a persistent agent orchestrator does directly analogous things to an OS.
I'm building a kind of orchestrator and I haven't thought of the OS analogy in a serious way other than the interface, but indeed I do already have scheduling, isolation, observability and identity, and I'm currently building a filesystem (versioned project-wide agentic artifacts).
Maybe I really do ought to call my project an "agentic desktop OS" and it isn't a misnomer after all.
Isn't that what pewdiepie made?
https://odysseusai.dev/
I am also pursuing something similar (complementary?) to this (recently started writing a Rust-based "distributed OS" that manages ML resources in a network of heterogenous systems: varied cores, system RAM, GPU VRAM, I/O). So my focus is not so much distributed agents, but more distributed inference (and fine tuning) that would benefit agents, distributed or not. I may blog about my work soon.
Your posted link is helpful, thanks.
Thanks, softwarewright; would love to hear more about your work. I've been implementing small-model inference in Zug inside WunderOS, but it's not done yet, so nothing public just yet.
I'm in a research/prototyping phase with no truly verified results yet, but I have all the hardware I need to do actual testing. I have an OS that boots in a VM, it just isn't verified to have practical value yet. It could be an AI coding agent's fever dream until I use it anger. So far Apple Silicon only, but most of my systems run Linux and most of my GPUs are NVIDIA, so moving development from Mac to Linux soon. It does have tests, demos, docs. Iterating on it daily.
https://github.com/sw-ml-study/sw-os-ml
I also have been implementing small model inference:
https://github.com/sw-ml-study/moe-microscope
I should clarify that by Apple Silicon I mean it boots Rust no_std on ARM. Does not use GPU yet. Plan is to use Rust without CUDA libraries. This project is more likely to use an NPU on a ARM dev board before it can use an NVIDIA GPU, and might never be able to use Apple GPUs. Goal: run on no-longer-supported by CUDA GPUs.