nowfound

AI · March 28, 2026

IB

I built an OS that is pure AI

I've been building Pneuma, a desktop computing environment where software doesn't need to exist before you need it. There are no pre-installed applications. You boot to a blank screen with a prompt. You describe what you want: a CPU monitor, a game, a notes app, a data visualizer and a working program materializes in seconds. Once generated, agents persist. You can reuse them, they can communicate with each other through IPC, and you can share them through a community agent store. The idea isn't that everything is disposable. It's that creation is instant and the barrier to having exactly…

In plain words

Pneuma is a desktop operating system where users describe what software they need and AI generates working applications in seconds. Starting from a blank screen with a prompt, users can request tools like CPU monitors, games, or note-taking apps, which the system creates as self-contained Rust modules compiled to WebAssembly. Generated applications persist and can communicate with each other or be shared through a community store. It is designed for users who want instant access to custom tools without pre-installed software or lengthy setup processes.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

I've been building Pneuma, a desktop computing environment where software doesn't need to exist before you need it. There are no pre-installed applications. You boot to a blank screen with a prompt. You describe what you want: a CPU monitor, a game, a notes app, a data visualizer and a working program materializes in seconds. Once generated, agents persist. You can reuse them, they can communicate with each other through IPC, and you can share them through a community agent store. The idea isn't that everything is disposable. It's that creation is instant and the barrier to having exactly the tool you need is just describing it. Under the hood: your input goes to an LLM, which generates a self-contained Rust module. That gets compiled to WebAssembly in under a second, then JIT-compiled and executed in a sandboxed Wasmtime instance. Everything is GPU-rendered via wgpu (Vulkan/Metal/DX12). If compilation fails, the error is automatically fed back for correction. ~90% first-attempt success rate. The architecture is a microkernel: agents run in isolated WASM sandboxes with a typed ABI for drawing, input, storage, and networking. An agent crash can't bring down the system. Agents can run side by side, persist to a local store, and be shared or downloaded from the community store. Currently it runs as a desktop app on Linux, macOS, and Windows. The longer-term goal is to run on bare metal and support existing ARM64 binaries alongside generated agents. A full computing environment where AI-generated software and traditional applications coexist. Built entirely in Rust. I built this because I think the traditional software model of find an app, install it, learn it, configure it; is unnecessary friction. If a computer can generate exactly the tool you need in the moment you need it, and then keep it around when it's useful, why maintain a library of pre-built software at all? Free tier available (no credit card). There's a video on the landing page showing it in action. Interested in feedback on the concept, the UX, and whether this is something you'd actually use.

More ai this month

the category →
  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 17d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

    AI · 27d ago · cactuscompute.com

  • Make your software self-driving

    AI · 30d ago · coldtea.ai

  • Soloop472

    Approval-first Agent OS for solo founders

    AI · 30d ago · soloop.io

Launched alongside, March 2026

the whole month →
  • AI-native CRM that builds itself and does work for you

    AI · Mar 2026 · lightfield.app

  • Tobira.ai730

    A network where AI agents find deals for their humans

    AI · Mar 2026 · tobira.ai

  • Switch from ChatGPT to Claude with import memory feature

    AI · Mar 2026 · claude.com

  • The AI assistant that already knows your work

    AI · Mar 2026 · littlebird.ai

  • Your AI Coworker that proactively executes tasks

    AI · Mar 2026 · viktor.com

  • Jupid664

    File your taxes with Claude Code

    Commerce · Mar 2026 · jupid.com