Deploy TabbyML

Self-hosted AI coding assistant. An open-source, self-hosted alternative to GitHub Copilot.

⭐ 25.0k stars📜 Apache License 2.0🔴 Advanced⏱ ~20 minutes

What You’ll Get

A fully working TabbyML instance running on your server. Your data stays on your hardware — no third-party access, no usage limits, no surprise invoices.

Prerequisites

A server with Docker and Docker Compose installed (setup guide)
A domain name pointed to your server (optional but recommended)
Basic terminal access (SSH)

The Config

Create a directory for TabbyML and add this docker-compose.yml:


# -------------------------------------------------------------------------
# 🚀 Created and distributed by The AltStack
# 🌍 https://thealtstack.com
# -------------------------------------------------------------------------
 
version: '3.8'
 
services:
  tabby:
    image: tabbyml/tabby:latest
    container_name: tabby
    restart: unless-stopped
    ports:
      - "8080:8080"
    volumes:
      - tabby-data:/data
 
volumes:
  tabby-data:

Let’s Ship It


# Create a directory
mkdir -p /opt/tabby && cd /opt/tabby
 
# Create the docker-compose.yml (paste the config above)
nano docker-compose.yml
 
# Pull images and start
docker compose up -d
 
# Watch the logs
docker compose logs -f

Post-Deployment Checklist

Service is accessible on the configured port
Admin account created (if applicable)
Reverse proxy configured (Caddy guide)
SSL/HTTPS working
Backup script set up (backup guide)
Uptime monitor added (Uptime Kuma)

The “I Broke It” Section

Container won’t start?


docker compose logs tabby | tail -50

Port already in use?


# Find what's using the port
lsof -i :PORT_NUMBER

Need to start fresh?


docker compose down -v  # ⚠️ This deletes volumes/data!
docker compose up -d