
LMIM Linux Genesys
AI-native OS with a local intelligence that knows you.
What it does
LMIM Linux "Genesys" is an AI-native operating system with a persistent local AI presence Kanban. Notes. Workspace. Today. Focus. Creative Lab. Browser. Build Crew. Web tools. File tools. And more. They're not web apps running beside the system. They're part of the environment. The idea was simple: if we're going to rethink the operating system around intelligence, why stop at the assistant? The computer itself should become the workspace.
An AI-native operating system with a persistent local presence — and a whole workspace built in. Kanban, notes, creative lab, browser, Build Crew. No cloud, no subscription, no telemetry. Free and AGPL-3.0.
Most AI tools are applications. You open them, they help, you close them — and they forget you. Genesys doesn't go anywhere. It boots with the machine, remembers across sessions, speaks out loud — and the whole computer becomes a workspace, not just an assistant. Kanban. Notes. Workspace. Today. Focus. Creative Lab. Browser, Build Crew, web and file tools. They're not web apps running beside the system — they're part of the environment. If we're going to rethink the operating system around intelligence, why stop at the assistant? Backlog to done, on your desktop. Cards, columns, quick-add. Files and folders, with an AI that can read and build in them. Make the videos, art and ads that sell…from lmim.tech
Does the same job
all alternatives →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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


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 · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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