docker-compose.yml

services:
  mnemomatic:
    container_name: mnemomatic-MCP
    build:
      context: .
      target: full          # use 'lite' for the smaller image (requires MNEMOMATIC_EMBED_URL)
    # No ports exposed directly — all traffic goes through Caddy
    # (or uncomment below for direct access: ports: ["${PORT:-8686}:8000"])
    volumes:
      - ./data:/data
    environment:
      - MNEMOMATIC_DB_PATH=/data/mnemomatic.db
      # - MNEMOMATIC_API_KEY=  # set a strong key: openssl rand -base64 32
      # - MNEMOMATIC_EMBED_URL=http://ollama:11434/api/embeddings   # required for lite image
      # - MNEMOMATIC_EMBED_MODEL=nomic-embed-text                   # model name for external embedder
      # - MNEMOMATIC_EMBED_DIM=768                                  # embedding dimension (default: 384)

  caddy:
    container_name: Caddy-MCP
    image: caddy:2-alpine
    ports:
      - "80:80"
      - "443:443"
    volumes:
      - ./Caddyfile:/etc/caddy/Caddyfile:ro
      - ./certs:/etc/caddy/certs:ro
      - caddy_data:/data
    depends_on:
      - mnemomatic

volumes:
  caddy_data: