HolyCode: Docker Container for Persistent AI Coding Agent Environments

HolyCode is a Docker container built with Claude Code to solve environment switching problems. The developer created it to have one Docker setup that can run anywhere without rebuilding the entire environment.
How Claude Code Was Used
- Iterated the Docker/runtime architecture quickly
- Debugged browser/container issues (Chromium + Xvfb + Playwright flow)
- Refined startup and recovery flow so rebuilds are repeatable
- Improved documentation and troubleshooting steps for predictable setup
Features
- Keeps sessions, settings, and plugins in persistent storage so rebuilds don't wipe progress
- Ships with prewired browser tooling for agent workflows
- Uses reliability defaults for daily use (shm_size: 2g, permission mapping, process supervision)
- Supports Claude, OpenAI, Gemini, and other provider workflows through OpenCode
Quick Start
Create a docker-compose.yml file:
services:
holycode:
image: coderluii/holycode:latest
restart: unless-stopped
shm_size: 2g
ports:
- "4096:4096"
volumes:
- ./data/opencode:/home/opencode
- ./workspace:/workspace
environment:
- PUID=1000
- PGID=1000
- ANTHROPIC_API_KEY=your-key-hereThen run:
docker compose up -dOpen http://localhost:4096 to access the environment.
The container is available at coderluii/holycode:latest on Docker Hub and the source is on GitHub. The developer mentioned they can share exact backup/restore and upgrade/rollback routines in follow-up comments.
📖 Read the full source: r/ClaudeAI
👀 See Also

KV Cache Reuse for Long Conversations on Apple Silicon Delivers 200x Speedup
A developer implemented session-based KV cache reuse for local LLM inference using Apple's MLX framework, achieving a 200x improvement in time-to-first-token at 100K context length. The approach keeps the KV cache in memory across conversation turns, processing only new tokens.

Quiver: A GUI for Managing and Syncing Claude Code Skills
Quiver is a free, open-source GUI tool that provides a web interface for managing Claude Code skills, allowing users to browse local skills and marketplace plugins, edit SKILL.md files, sync via Git, and install skills without using the terminal.

A2P: An MCP Server That Enforces Engineering Discipline for AI Coding Agents
A2P (Architect-to-Product) is an AI engineering framework packaged as an MCP server that enforces a gated workflow: Architecture → Plan → Build → Audit → Security → Deploy, with each feature slice requiring RED → GREEN → REFACTOR → SAST → DONE progression.

ClamBot: AI Agent Runs LLM-Generated Code in WASM Sandbox for Security
ClamBot is an AI agent framework that executes all LLM-generated code in a WebAssembly sandbox using QuickJS in Wasmtime, eliminating the need for exec() or subprocess calls. It includes an approval gate for tool calls, persistent script caching as 'clams', and supports multiple LLM providers.