[matiasmolinas]

I'm working on LLM OS, an experimental project that explores treating the LLM as a CPU and Python as the kernel. The goal is to provide OS-level services—like memory hierarchy, scheduler hooks, and security controls—to agentic workflows using the Claude Agent SDK.

Right now, this is mostly a collection of architectural ideas and prototypes rather than a polished framework. I’ve included several complex examples in the repo to explore the potential of this approach:

- Qiskit Studio Backend: Re-imagining a microservices architecture as a unified OS process for quantum computing tasks.

- Q-Kids Studio: Exploring how an OS layer can manage safety, adaptive difficulty, and state in an educational app.

- RoboOS: Testing how kernel-level security hooks can enforce physical safety constraints on a robot arm.

These examples play with concepts like execution caching (Learner/Follower modes) and multi-agent orchestration, but the project is very much in the early stages and is not yet functional for production.

I’m sharing this early because I believe the "LLM as OS" analogy has a lot of potential. I'm looking for contributors and feedback to help turn these concepts into a functional reality.

Repo: https://github.com/EvolvingAgentsLabs/llm-os