AI DevOps + OpenCode - Alternative to _Claw bots

[marcusquinn]

I prototyped a Cloudron app for this here:

• https://github.com/marcusquinn/aidevops-cloudron-app

(made with aidevops)

you can of course still use it safely, locally — which I do and recommend — but if you want a cloudron instance for any reason, this should also work

look at my GitHub activity if you want to see what it's capable of:

• https://github.com/marcusquinn

[marcusquinn]

Massive amount of work has gone into token-optimisation with this, now.

Give it a try, and compare to whatever else you're using. I think you'll be pleasantly surprised

[LoudLemur]

This post is deleted!

[jdaviescoates]

Again, it's already packaged, I think.

I'm on the verge of reporting all your reports as spam @loudlemur

I get that you are coming from a good place and trying to be helpful, but imho you're just creating noise and these reports are not helpful given so many of them are obviously wrong.

[LoudLemur]

@jdaviescoates I shall hold off posting any more of these till there is some consensus on whether they might be made useful.

sorry about the noise!

[marcusquinn]

@LoudLemur don't litter external links, either. Not "helpful".

[umnz]

This looks cool. What are the chances of getting this officially added to Cloudron?

[marcusquinn]

@umnz i use and develop is daily. checkout my open:closed issues & prs ratio on the repo:

• https://github.com/marcusquinn/aidevops

(works with claude max subscriptions, too)

You can see my gh activity and ai-leverage throughput with it here:

• https://github.com/marcusquinn

There's a Cloudron app version here, but you're best off installing it locally first, and then getting it to walk you through setting up the cloudron app instance from this repo:

• https://github.com/marcusquinn/aidevops-cloudron-app

Maybe that can be added to the cloudron community apps library?

[umnz]

@marcusquinn really nice work Marcus. We're only allowed to use locally hosted models using OpenAI compatible endpoints. Does AIDevOps support local models? We have 10 or so nodes that can run anything from 24-70GB of RAM + context each on top (so most 30b models are compatible with big context). Any models, system prompts or settings you'd recommend for using this with locally hosted setups? I do like the sound of spooling up a bunch of workers and getting around the network limit by having them point to different nodes.

[marcusquinn]

@umnz OpenCode is the interface, so you can use any models, cloud or local.

aidevops is just a curated harness, to save everyone from reinventing the same, and it's designed for token-efficiency, speed, and optionality — with pulse & workers to get things done in the background, while your main interactive sessions can ask for anything

also, i've recently switched from using anthropic models to openai's gpt-5.5 (no thinking, ctrl-T until that setting is blank) and finding that very fast and reliable — i think with 5.5 they've finally surpassed opus level coding capabilities

for self-hosted models, i understand deepseek and kimi are the current SOTA for coding, let us know how you get on

[robi]

GPT 5.5 is roughly at par with Mythos.