Persistent-memory/docker-compose.yml at main · Rohan473/Persistent-memory · GitHub

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version: '3.8'

services:
  # Vector database for memory layer
  qdrant:
    image: qdrant/qdrant:v1.18.0
    container_name: wq-qdrant
    ports:
      - "6333:6333"
      - "6334:6334"
    environment:
      - RUN_MODE=production
    volumes:
      - qdrant_storage:/qdrant/storage
    restart: unless-stopped

  # MCP server for memory layer retrieval
  mcp-server:
    build:
      context: .
      dockerfile: Dockerfile.mcp
    container_name: wq-mcp
    ports:
      - "8000:8000"
    depends_on:
      - qdrant
    environment:
      - QDRANT_HOST=wq-qdrant
      - QDRANT_PORT=6333
      - FIRECRAWL_API_KEY=${FIRECRAWL_API_KEY}
    restart: unless-stopped
    command: python -m memory_layer.mcp

  # Batch ingest service - processes graph and firecrawl data into Qdrant
  ingest:
    build:
      context: .
      dockerfile: Dockerfile.mcp
    container_name: wq-ingest
    depends_on:
      - qdrant
    environment:
      - QDRANT_HOST=qdrant
      - QDRANT_PORT=6333
      - FIRECRAWL_API_KEY=${FIRECRAWL_API_KEY}
    volumes:
      - ./nodes:/app/nodes
      - ./graph:/app/graph
    command: python -m memory_layer.ingest ingest_all
    restart: "no"
    profiles:
      - ingest

  # Firecrawl for web scraping (optional - requires API key)
  firecrawl:
    image: dhi.io/firecrawl-mcp
    container_name: firecrawl-mcp
    ports:
      - "3001:3001"
    environment:
      - FIRECRAWL_API_KEY=${FIRECRAWL_API_KEY}
    restart: unless-stopped
    profiles:
      - firecrawl

volumes:
  qdrant_storage:
    driver: local

networks:
  default:
    name: wq-brain-net