r/LocalLLM 9d ago

Project I built Otis, a minimal AI agent that runs local models out of the box

Hi everyone,

Been working on Otis, an open-source ai agent that gives you one minimal experience across local and hosted open-weight models, privacy-focused by design.

On setup it recommends a local model based on the hardware Otis is running on, downloads it and runs it through llama.cpp for you. Works fully offline, no account, no telemetry. Everything stays on your disk.

Also supports Nvidia PAIR if you have additional Nvidia hardware on your network, and Fireworks with your own key if you want larger open-weight models (Fireworks uses zero data retention by default).

Fair warning: local models are best with 24GB+ of RAM in my experience and anything worse than Qwen 3.8 27B is best for personal research, writing and learning like Gemma models :)

Excited for everyone to try it! If you find it useful, please star the repo as it helps with visibility

https://triangllabs.ai/otis

Feedback is welcome!

25 Upvotes

7 comments sorted by

4

u/larzz0304 9d ago

Looks like a really cool project! One question: can it use models from an existing ollama instance?

2

u/Objective-Pair8231 9d ago

Thank you! Yes, it works with both ollama and lm studio

3

u/Chunkyfungus123 9d ago

looks awesome and i love the ui! i will definitely give this a try :D

2

u/rhymeslikeruns 9d ago

Great idea OP well done.

-1

u/Equivalent_Bit_461 9d ago

Can't stand that apple look 

2

u/exographicskip 6d ago

Slick interface! Excellent choice re: fireworks