That's why I wrote cyberwriter, my company needs sandboxed apps because we work on sensitive data. Community plugins are too risky running with full system access
Obsidian is great- it motivated me to make cyberwriter, where the app is sandboxed and the top community plugins are baked in. I work in healthcare and we can't have unvetted community plugin updates running in our network with full system access and with sensitive data.
exactly, but even moreso that Apple exposed the API in a fairly complete way. I integrated their local model in less than a day - creating embeddings and RAG essentially on an entire document vault in about 2 seconds- for people who dont have local AI configured, is pretty crazy
I build anubis-oss because my friends and I are always trying to see how local LLMs run on our different Macs with different configs. So I build a benchmarker for us with a bunch of tools like exportable benchmark reports and arena mode, then I said hey, I can add public leaderboards with the full dataset of submissions open sourced, and give that to my ML and model tuning friends to gauge performance across broad configs. Yes it cost me money, but it's a fun project and I'm trying to get it into homebrew. Just need a few more stars.
Addendum-
Anubis OSS is GPL-3.0 licensed. Built fully in Swift and dev cert signed for safety (if you don't want to clone the source and compile yourself), no external dependencies except Sparkle for autoupdates if you want them, privacy-first - benchmark data is submitted voluntarily and never includes anything beyond hardware specs and model performance metrics.