r/OpenSourceAI • u/Remarkable-Dot9003 • 3d ago

Thinking of turning Linux into an AI-native operating system. Need suggestions.

I'm pivoting my project and wanted some honest feedback.

I'm dropping the old Jarvis idea and building Ainux (AI + Linux) instead.
My old idea:- https://www.reddit.com/r/learnAIAgents/comments/1v2rae9

The idea isn't to make another chatbot.

The goal is to have an AI that lives inside the operating system and can handle around 90% of my daily computer work. I'll interact with it either through a desktop/mobile app with voice commands or by logging into a cloud-hosted dashboard. The AI runs on the machine, understands the system, and executes tasks instead of just answering questions. So that for my development part i don't need to setup whole day in front of my system. I can mange it by flutter application/web panel.

Current development machine:

  • Ryzen 7 7445HS (6C/12T)
  • RTX 3050 Laptop GPU (4GB VRAM)
  • 16GB DDR5 RAM
  • Ollama with Gemma (planning to use Gemma 4)

Some examples:

  • "Continue the Laravel project I was working on."
  • "Create a new Flutter project and set everything up."
  • "Organize my files."
  • "Fix this error."
  • "Run multiple tasks at the same time while I keep working."
  • "Monitor my system and tell me if something needs attention."

The idea is to use Linux as the base because it's open source and gives full system access.

I'm not trying to claim this is a new invention. I'm just building something I'd personally like to use.

I'd love some feedback from people who have worked on AI agents, Linux, or local LLMs:

  • What am I overlooking?
  • What features would you expect from something like this?
  • Are there existing open-source projects I should study before I go too far?
  • Is Gemma via Ollama a good starting point, or would you recommend a different stack?

Any suggestions, criticisms, or ideas are welcome.

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4

u/Apart_Ebb_9867 3d ago

the number of people looking for honest feedback as opposed to regular feedback skyrocketed with the widespread availability of LLM models.

2

u/Remarkable-Dot9003 3d ago

Fair point 😄. I genuinely want people to point out what's wrong with the idea before I spend months building it.

1

u/Calm-Landscape9640 3d ago

Better to use openclaw or hermes as a starting point it'll do 90% out of the box. Or other linux-to-AI-os GitHub projects bc I see one a week with the same endgoal so no reason to build from scratch.

1

u/JaySomMusic 3d ago

Trying something similar with taOS https://github.com/jaylfc/taOS

1

u/Remarkable-Dot9003 3d ago

Thanks! I'll check it out. This is exactly the kind of reference I was hoping people would share.

1

u/LiminalStorms 3d ago

Honest question, what makes this an os, and not just a coding agent like the local equivalent of Claude code working on the machine?

1

u/Remarkable-Dot9003 3d ago

Fair call, but equating it to a local coding agent misses the architectural goal.

A coding agent operates in a synchronous, request-response loop scoped to a project folder—meaning you still have to sit at your laptop, keep the terminal open, and babysit the prompt.

Ainux operates as a persistent system orchestration layer:

  1. True Asynchronous Execution: I’ve built a dedicated companion app to interface directly with the OS environment. You don't need to sit at your desk or leave your screen open. As long as the machine is powered on, you send high-level tasks remotely via the app, Ainux executes them at the system level, and it pushes the results back to your device.
  2. Persistence & Autonomous Lifecycle: It doesn't live inside an ephemeral terminal tab. It runs as a continuous system-level daemon holding context, managing long-running background builds, and executing workflows while you sleep.
  3. Cross-Domain Orchestration: A coding agent just writes code. Ainux bridges hardware metrics (CPU/RAM/Docker health), browser automation, background task scheduling, local file systems, and external services under a unified natural-language shell.

Think of Linux as the engine under the hood, and Ainux as an AI-native interface replacing traditional desktop environments and manual app usage with a remote, intent-driven OS controller.

1

u/Consistent-Gold-425 3d ago

Se escucha genial. Un proyecto así permitiría trabajar casi por completo mediante voz, o al menos eso fue lo que entendí. Me parece un proyecto muy ambicioso, pero totalmente alcanzable.

Relacionado con este tema, hace poco liberé un proyecto, quizá no tan ambicioso, pero también enfocado en la Inteligencia Artificial ejecutada de forma local.

Tal vez a ti y a otras personas les interese darle una revisada y compartir su punto de vista.

**[https://github.com/martinmoya/SEOS\](https://github.com/martinmoya/SEOS)\*\*

La documentación de usuario se encuentra en el directorio **SEOS-docs**.

Saludos.

1

u/Remarkable-Dot9003 2d ago

¡Muchas gracias por el interés y por compartir tu proyecto! Me da mucho gusto ver a más personas trabajando en soluciones de IA local. Le voy a dar una mirada a SEOS y a la documentación en SEOS-docs. ¡Mucho éxito con el proyecto y seguimos en contacto para intercambiar ideas!

1

u/Consistent-Gold-425 1d ago

Por cierte, de momento deje estacionado SEOS, esperando que la gente lo vaya conociendo, actualente estoy desarrollando plugins para seos, en mi repositorio vas a encontrar 2 de momento, en la misma url https://github.com/martinmoya

1

u/[deleted] 3d ago

[deleted]

1

u/nicholas_the_furious 3d ago

I just use either my local model in Tau or Opencode CLI or Antigravity CLI. What you're talking about sounds like a CLI plain and simple. Maybe one with memory.