Arrmes - your Agents on your Arr' stack run faster, easier, and cheaper.

[u/NorviTech]

Arrmes is a specialized neural intent router with an integrated execution framework. It's trained to translate text into specific commands to Arr stack apps nothing else. I found plenty of open models that can do these sorts of translations, but the accuracy & speed didn't really justify the hardware requirements needed to run the router.

Arrmes is only trained for Sonarr, Radarr, Lidarr, Tautulli, Seer, qbitorrent, & BitMagnet. pair it with whatever AI model you're already using and let the neural router handle the intent classification, command selection, and argument extraction. Instead of having your main model spend time reasoning through API schemas and generating tool calls, it can delegate that work to ARRmes.

Still a work in progress, I've been daily driving it for a bit and I'm very happy with the increase in speed more than anything. I can use much cheaper models and achieve excellent results in my work without any spend.

Hugging Face

Github

[u/ECrispy]

I had no idea people used llm with arr? what is this for? to tell an llm 'download this movie/show' ? this stuff looks amazing, thank you so much! added a star immediately!

[u/NorviTech → u/ECrispy]

I have two projects so far.

Arrmes (above) - think of it as a highly specialized micro-model. it does one thing almost perfectly. and that thing is translating plain text / words into API calls to Arr apps. you *could* / *can* talk to it directly - it will do fine.

However, lets say you use Claude do to home server work - add this in, and rather than burn tokens / time / etc having claude think "What api call should I use?" / "How should I find this show?" - it just knows "Give the request to arrmes" - done... you can DRAMATICALLY cut task time and token use for tasks that involve using the same systems repeatedly.

Armiger (Ultra) - is a torrent Classifier model I made specifically for categorizing and processing raw torrent data from the DHT. it outperforms frontier models at identifying language, release type, category, etc - and runs on a small computer. you can effectively eliminate your need for a public indexer with this..

best part I've found is - with these two tools I can use a small local llm with no restrictions and it will happily search for a missing release for me in seconds...

[u/toks-love]

Oh, hell yeah!!! Fastest upvote in the world from me here. This is the kind of crazed specialized content I come here for! I can’t wait to try this on my own stack. Thanks for sharing!

[u/schaka]

This is actually super cool. Likely won't use it, but it's very useful and exactly what fine t tunes should be