Replying to @OsaurusAI
@OsaurusAI does the muscle, Ornith does the hustle.
🙌 Two bros took all daily grind.
Check out the amazing work from Osaurus team!!
🔗 osaurus.ai
Osaurus retweeted
Osaurus for Windows has built-in privacy controls to protect your sensitive information.
Watch an accountant’s workflow: Claude Sonnet 5.5 drafts a letter to the IRS while the client’s name, SSN, and other sensitive details never leave the PC.
Osaurus retweeted
SwiftUI is monumentally bad.
One of the first things that I did for @OsaurusAI was to refactor every core feature to AppKit. The performance has been remarkable ever since
Osaurus retweeted
Was fun working on this feature! Osaurus lets you keep your private life private even when using cloud models.
Osaurus retweeted
Todos hablando de Grok Bot, Meta Muse, Open AI Dots.
Pero yo uso @OsaurusAI con @deepseek_ai y no he necesitado nada más 🔥
Osaurus retweeted
I'm not playing around. Since releasing the beta yesterday, I've already added:
- Persistent memory
- Agent sandboxes (using WSL Containers)
- Automations (folder watchers, scheduled tasks)
- Bug fixes
And there's lots more coming.
Osaurus Beta for Windows has support for WSL Containers on day one of its GA.
Watch a local model safely experiment with python within a sandbox to generate a Mandelbrot fractal.
Fully native, built for Windows with WinUI, C#, and .NET 10
xitter.cf/windowsblog/status/210…
Osaurus retweeted
This is why we're building @OsaurusAI
You own your data.
You own your inference (choose between local/cloud)
You don't have to worry about someone training on your data, even if they claim they aren't.
With local AI, your data stays on your device.
Osaurus retweeted
#design #ux #ai #localai
I just had a great conversation with the founder of @OsaurusAI
I’ve been following the evolution of the app since the beginning of the year. They built Raptor models, and the results are impressive.
osaurus.ai
Osaurus retweeted
A little verbose for my taste, but absolutely gets the job done. Try out the ~6gb and ~8gb quants of Bonsai 2 27b on your Mac!
Local AI shouldn't be limited to expensive hardware. Everyone should have the opportunity to own their AI.
Osaurus retweeted
This will be coming to Osaurus for Windows as well. Not everyone has an RTX 30/40/5090. It'll open up local model usage for PCs with more common GPUs. You won't need a workstation to use local AI.
Osaurus retweeted
Windows users deserve a great AI app that doesn't hog their system resources. I built the @Windows version of Osaurus to be fully native with a focus on user experience, performance, and ease of use with local models.
I can't wait for you to try it and share your feedback!
Osaurus retweeted
Lets be honest, every other engine having so many flags to be able to even launch, then handling all the json configuration to connect to the harness so you can actually use it; who wants to really do all that?
This has to for sure be the cleanest and easiest way to be able to just directly launch an LLM and use for real scenarios, now available for Windows!
@SonofNun did some amazing work
Osaurus retweeted
Its time we focus on sub 24gb Mac’s - in this day and age, when someone goes and buys a $3000 Mac, while us local-pilled people understand that nearly all that matters is RAM and its speed, the main majority of people in the world consider and expect it to be a high end device - which when compared to the amount of raw compute you’d be able to get 5-10 years ago for that cost, it is.
I will be focusing on our “mixture of models” theory; where a main orchestration/chat model spawns and delegates specifics tasks over to another model which specializes in that task and proceeds to act in a manner of;
Main model 1 is unloaded -> task specific model 2 is loaded -> does task -> unload model 2 -> load model 1 back and resume
I hope that over time this will be able to prove that its not a high parameter count that matters, but that having a handful of models which hyperfocus on specific topics being loaded and unloaded in an efficient manner can come to meet the needs of all automation.
Osaurus retweeted
Replying to @OsaurusAI
@OsaurusAI is so damn good right now that if they ever add a feature for building apps, a LOT of apps are going to be in trouble. 😂
Seriously, Osaurus is absolutely on fire right now. 🔥
Osaurus retweeted
Prefix caching now stores BY TOOL CALL instead of BY TURN allowing for dramatically speedier prefill speeds.
Memory allocator bug has been fixed to 8gb, compiled decode for hybrid and other models enabled by default. Will be focusing heavily in more optimizations where I can in the next few days.
We just released the DSpark weights for Nanbeige4.2-3B (huggingface.co/Nanbeige/Nanb…).
Osaurus retweeted
Excited to show what I've been working on lately!
Giving local models a beautiful, native home on Windows. C#, WinUI, fully local. Fully private.
Coming soon!















