I've been building native macOS harness called Osaurus https://osaurus.ai/

It's full featured with agent loop, gets work done locally.

It's open-source and Swift-based, we built our own inferencing engine since every other engine is based on Python. Check us out - https://github.com/osaurus-ai/osaurus

Looking for some feedback!

As somebody who frequently switches between windows and Linux, I will pretty much never install an app that's only on one platform. Cross platform options mean I don't need to pay for or learn separate apps for the same thing on each OS

I don't care if it's QT or a WebView or something else, I just want to lower friction for myself

Link gives 404

just fixed it

Yeah, like you don't need to write three different clients. You can write a native MacOS client and ship your electron client for the irrelevant platforms.

You can check out my project here: https://github.com/dinoki-ai/osaurus

I'm focused on building it for the macOS ecosystem

I'm working on https://github.com/dinoki-ai/osaurus, Native macOS LLM server with MCP support. Looking for more feedback!

This looks cool. I actually created Tweaks - https://tweaks.io/

Great name! I'm sure we'll be sending some mistaken traffic to each other

Your work is super awesome, love the osaurus tool!

I've been building with local AI, on Apple Silicon. It's only 8mb, but runs 30% faster than Ollama.

https://github.com/dinoki-ai/osaurus

did you really solo develop this entire application? including dinoki-ai which appears to be SAAS?

Not yet, but can be supported in the future

I just finished https://tweaks.io, it's open-source and MIT licensed. Let me know your thoughts!

I'm working on Osaurus - https://github.com/dinoki-ai/osaurus, native, Apple Silicon–only local LLM server. Open Source + MIT-License

Check out Osaurus - MIT Licensed, native, Apple Silicon–only local LLM server - https://github.com/dinoki-ai/osaurus

thank you