HolyClaude: The One-Command AI Coding Workstation That Actually Works

How Many Hours Did You Waste Setting Up Claude Code in Docker?

Be honest. You wanted a clean AI coding environment — Claude Code, a browser you can actually use, maybe Playwright for testing. So you started installing. Then Chromium refused to launch because Docker's shared memory was 64MB. Then Xvfb wasn't configured. Then the UID inside the container didn't match your host and suddenly everything was permission denied. Then Claude Code's installer hung because WORKDIR was root-owned. Then SQLite locked on your NAS mount.

I've been there. Multiple times. And honestly, I was this close to giving up on containerized AI development entirely.

What I Found Instead

Then I found HolyClaude — and I swear, it felt like someone had crawled inside my brain and fixed every single issue I'd ever hit. One command. docker compose up. That's it. No 40-page setup guide. No "before you begin" section that takes an hour to get through.

Here's what you get in that single pull:

• Claude Code — the real CLI, pre-installed, authenticated through CloudCLI with your existing Anthropic account
• CloudCLI Web UI — a browser-based terminal at http://localhost:3001 so you don't have to exec into the container
• Chromium + Xvfb + Playwright — headless browser fully configured, no sandbox errors, no shared memory tweaks
• 8 AI CLI providers — Anthropic, OpenAI Codex, Google Gemini, Cursor, TaskMaster AI, Junie, OpenCode, Pi Coding Agent
• 50+ developer tools — TypeScript, Python, git, gh CLI, deployment tools, database clients, and everything else you'd install manually over an afternoon

Why This Actually Changes Things

The full image (~4.1 GB compressed) ships with everything pre-installed. That means when Claude is mid-conversation and wants to use a tool, it's already there. No 3-minute pip install pauses. No "I need to install this first" every time you ask for something.

There's also a slim variant (~2.4 GB) if you're on a smaller VPS or metered bandwidth. Claude installs extras on demand — it takes a few seconds but saves you 1.7 GB on the initial pull.

What I Actually Love

Your credentials survive everything. API keys, Claude's memory, your settings — they live in ./data/claude/ on the host, bind-mounted into the container. Pull a new image, compose up, and you're right back where you were. No re-authentication. No losing context.

Multi-arch support. AMD64 and ARM64 both work. I run this on an Oracle Cloud ARM instance and it's buttery smooth. Even tested it on a Raspberry Pi 4 — works great.

The edge cases are already handled. s6-overlay manages processes (auto-restart, graceful shutdown). Chromium's sandbox and seccomp are configured. Shared memory is 2 GB out of the box. Even the DISPLAY variable for Xvfb is set correctly — I can't tell you how many times I've forgotten to set that.

The Catch

It's not free in the sense that you still pay Anthropic for Claude usage — HolyClaude doesn't proxy or intercept your credentials. You authenticate directly with Anthropic through the CloudCLI web UI. Your Max/Pro subscription or API key works exactly like it does on your desktop.

But the container itself? MIT license, free, open source. That's refreshing.

Who Is This For?

• Claude Code users who want a clean, reproducible environment
• Anyone tired of Docker setup issues with AI tools (shared memory, permissions, Xvfb, Chromium)
• Teams that want a consistent AI coding workstation across different machines
• Probably not for you if you prefer a bare-metal install or need fine-grained control over every binary version

Final Verdict

HolyClaude saved me roughly 2 hours of setup time on the first run. The container has been battle-tested — the author clearly hit every bug in the book and fixed them all. If you use Claude Code or any AI coding CLI in Docker, this is the only way to do it.