AI DevOps + OpenCode - Alternative to _Claw bots

[robi]

AI DevOps Framework

aidevops.sh — An OpenCode plugin and AI operations platform for launching and managing development, business, marketing, and creative projects. 13 specialist AI agents handle the automatable work across every domain so your time is preserved for real-world discovery and decisions that AI cannot yet reach.

Recommended setup: OpenCode + Claude models (Anthropic). All features, agents, and workflows are designed and tested for OpenCode first. Claude models (haiku, sonnet, opus) deliver the best results across all agent tiers.

"Scope a mission to redesign the landing pages — break it into milestones, dispatch workers in parallel, validate each milestone, and track budget across the whole project"

One conversation, autonomous project delivery — with enterprise-level security & quality-control.

Founded by Marcus Quinn on 9th November 2025 to help anyone level-up their AI & Open-Source game.

The Philosophy

Maximum value for your time and money. aidevops is built on these principles:

• Autonomous orchestration - An AI supervisor runs every 2 minutes, dispatching parallel workers, merging PRs, detecting stuck processes, and advancing multi-day missions — no human babysitting required
• Multi-domain agents - 13 specialist agents (code, automation, SEO, marketing, content, legal, sales, research, video, business, accounts, social media, health) with 900+ subagents loaded on demand
• Multi-model safety - High-stakes operations (force push, production deploy, data migration) are verified by a second cross-provider model before execution — different providers have different failure modes, so correlated hallucinations are rare
• Resource efficiency - Cost-aware model routing (local → haiku → flash → sonnet → pro → opus), project-type bundles that auto-configure quality gates and model tiers, budget tracking with burn-rate analysis
• Self-healing - When something breaks, diagnose the root cause, create tasks, and fix it. Every error is a live test case for a permanent solution
• Self-improving - When patterns of failure or inefficiency emerge, improve the framework itself. Session mining extracts learnings from past sessions automatically
• Gap awareness - Every session is an opportunity to identify what's missing — gaps in automation, documentation, coverage, or processes — and create tasks to fill them
• Git-first workflow - Protected branches, PR reviews, quality gates before merge. Sane vibe-coding through structure
• Parallel agents - Multiple AI sessions running full Ralph loops on separate branches via git worktrees
• Progressive discovery - /slash commands and @subagent mentions load knowledge into context only when needed
• Open-source ready - Contribute to any project the same way you work on your own. Clone a repo, develop solutions to issues locally, and submit pull requests — the same full-loop workflow works everywhere

The result: an AI operations platform that manages projects across every business domain — absorbing everything automatable so you can focus on what matters.

Built on proven patterns: aidevops implements industry-standard agent design patterns - including multi-layer action spaces, context isolation, and iterative execution loops.

Why This Framework?

Beyond single-task AI. Most AI coding tools handle one conversation, one repo, one task at a time. aidevops manages your entire operation — dispatching parallel AI agents across multiple repos, routing tasks to domain-specialist agents, and running autonomously for days on multi-milestone projects.

What makes it different:

• Autonomous supervisor - AI pulse runs every 2 minutes: merges ready PRs, dispatches workers, kills stuck processes, advances missions, triages quality findings — no human in the loop
• Cross-domain intelligence - 13 agents spanning code, automation, business, marketing, legal, sales, content, video, research, SEO, social media, health, and accounts — each with domain expertise and specialist subagents
• Multi-model safety - Destructive operations verified by a second AI model from a different provider before execution
• 30+ service integrations - Hosting, Git platforms, DNS, security, monitoring, deployment, payments, communications
• Mission orchestration - Multi-day autonomous projects broken into milestones with validation, budget tracking, and automatic advancement

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Quick Reference

• Purpose: AI-assisted DevOps automation framework
• Install: npm install -g aidevops && aidevops update
• Entry: aidevops CLI, ~/.aidevops/agents/AGENTS.md
• Stack: Bash scripts, TypeScript (Bun), MCP servers

Key Commands

• aidevops init - Initialize in any project
• aidevops update - Update framework
• aidevops auto-update - Automatic update polling (enable/disable/status)
• aidevops secret - Manage secrets (gopass encrypted, AI-safe)
• /onboarding - Interactive setup wizard (in AI assistant)

Agent Structure

• 13 primary agents (Build+, Automate, SEO, Marketing, etc.) with specialist @subagents on demand
• 900+ subagent markdown files organized by domain
• 390+ helper scripts in .agents/scripts/
• 69 slash commands for common workflows

Enterprise-Grade Quality & Security

Comprehensive DevOps framework with tried & tested services integrations, popular and trusted MCP servers, and enterprise-grade infrastructure quality assurance code monitoring and recommendations.

Security Notice

This framework provides agentic AI assistants with powerful infrastructure access. Use responsibly.

Capabilities: Execute commands, access credentials, modify infrastructure, interact with APIs Your responsibility: Use trusted AI providers, rotate credentials regularly, monitor activity

[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.

[LoudLemur]

@robi said:

GPT 5.5 is roughly at par with Mythos.

That is interesting to know. Have they been using GPT 5.5 for pen testing?

People are raving about Hermes Agent. Would that fit into the AI DevOps framework?

[robi]

@LoudLemur Yes, they also ran other bench tests.

AFAIK No, Hermes is a different UI and harness.

[marcusquinn]

@LoudLemur Hermes is a bootstrap harness, bring all your own agents/skills, and no deep Git collaboration.

AiDevOps is an opinionated with 1000+ agent for things I use and recommend, and the only harness as far as I know that can work for multiple users and machines collaborating on the same Git repo (more difficult than you'd think if you try to do this without AIDevOps)

You can install all of these things, try them and compare.

Once you have installed an an account connected (GPT-5.5 is currently best for coding & devops), then you can ask it what it does, and to compare itself to anything else you find trending that gets your attention.

[LoudLemur]

@marcusquinn Thanks.

What do you think of this guy's take? He thinks the best agent is a markdown file and scripts that are routed through the markdown file, and these are best organized in ... folders...

[timconsidine]

@LoudLemur this is a better vid from him - long-winded but clearer :

[robi]

@timconsidine @loudlemur That is exactly what AID does. It works.

[timconsidine]

@robi
I don’t have a use case for it
I was just pointing those who might be interested to a resource

[marcusquinn]

@LoudLemur folders are a 1-dimension construct, so not always applicable to multi-use things

i prefer flat file structures where it can speed up searching and navigating for things

these are minor details, but i do pay attention to them

best way to see how i've structured and optimised things is to look at the codebase and try it

i'm at the point now where i use it to build more, so the evolution is now iterative based on that experience

i don't think you'll find a more token-efficient way to work at scale and get more done, but you're not locked into anything open-source, so try them all and compare

aidevops is good at answering questions about itself, and comparing itself to any other repo links you give it, it's a full-transparancy self-aware system

right now, the best model by far for coding is gpt-5.5 (no thinking needed, so Ctrl-T until that yellow text doesn't show in the opencode input) — pretty-much gets everything i ask of it done in one shot