c889a57b6b
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166 lines
4.3 KiB
YAML
166 lines
4.3 KiB
YAML
services:
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cognee:
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container_name: cognee
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restart: always
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networks:
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- cognee-network
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build:
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context: .
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dockerfile: Dockerfile
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volumes:
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- ./cognee:/app/cognee
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- .env:/app/.env
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# Uncomment to allow ingestion of local files from host:
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# - /path/to/your/data:/data
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environment:
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- DEBUG=false # Change to true if debugging
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- ENV=local
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- LOG_LEVEL=INFO
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# CAUTION: Default '*' allows all origins. Override with specific domains in production.
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- CORS_ALLOWED_ORIGINS=${CORS_ALLOWED_ORIGINS:-*}
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extra_hosts:
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# Allows the container to reach your local machine using "host.docker.internal" instead of "localhost"
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- "host.docker.internal:host-gateway"
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ports:
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- 8000:8000
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- 5678:5678 # Debugger port
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 40s
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deploy:
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resources:
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limits:
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cpus: "4.0"
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memory: 8GB
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# Cognee MCP Server - Model Context Protocol server for IDE integration
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cognee-mcp:
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container_name: cognee-mcp
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profiles:
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- mcp
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networks:
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- cognee-network
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build:
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context: .
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dockerfile: cognee-mcp/Dockerfile
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command: --no-migration
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volumes:
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- .env:/app/.env
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- ./cognee:/app/cognee
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# Uncomment to allow ingestion of local files from host:
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# - /path/to/your/data:/data
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environment:
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- DEBUG=false # Change to true if debugging
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- ENV=local
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- LOG_LEVEL=INFO
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- TRANSPORT_MODE=sse
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# Database configuration - should match the main cognee service
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- DB_PROVIDER=${DB_PROVIDER:-sqlite}
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- DB_HOST=${DB_HOST:-host.docker.internal}
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- DB_PORT=${DB_PORT:-5432}
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- DB_NAME=${DB_NAME:-cognee_db}
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- DB_USERNAME=${DB_USERNAME:-cognee}
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- DB_PASSWORD=${DB_PASSWORD:-cognee}
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# MCP specific configuration
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- PYTHONUNBUFFERED=1
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extra_hosts:
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- "host.docker.internal:host-gateway"
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ports:
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# Host ports differ from the main `cognee` service so both can run together
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# (the MCP server still listens on 8000 inside the container).
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- "8001:8000" # MCP port
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- "5679:5678" # MCP debugger port
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deploy:
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resources:
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limits:
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cpus: "2.0"
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memory: 4GB
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# NOTE: Frontend is a work in progress and supports minimum amount of features required to be functional.
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# If you want to use Cognee with a UI environment you can integrate the Cognee MCP Server into Cursor / Claude Desktop / Visual Studio Code (through Cline/Roo)
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frontend:
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container_name: frontend
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restart: always
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environment:
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- NEXT_PUBLIC_BACKEND_API_URL=${NEXT_PUBLIC_BACKEND_API_URL:-http://localhost:8000}
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- NEXT_PUBLIC_IS_CLOUD_ENVIRONMENT=false
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profiles:
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- ui
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build:
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context: ./cognee-frontend
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dockerfile: Dockerfile
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volumes:
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- ./cognee-frontend/src:/app/src
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- ./cognee-frontend/public:/app/public
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ports:
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- 3000:3000
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# - 9229:9229 # Debugging
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networks:
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- cognee-network
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neo4j:
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image: neo4j:5.26 # Pinned to 5.x; compatible with neo4j Python driver >=5.28,<6
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container_name: neo4j
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restart: always
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profiles:
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- neo4j
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ports:
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- 7474:7474
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- 7687:7687
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environment:
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- NEO4J_AUTH=neo4j/pleaseletmein
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- NEO4J_PLUGINS=["apoc", "graph-data-science"]
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networks:
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- cognee-network
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postgres:
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image: pgvector/pgvector:pg17
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container_name: postgres
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restart: always
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profiles:
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- postgres
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environment:
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POSTGRES_USER: cognee
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POSTGRES_PASSWORD: cognee
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POSTGRES_DB: cognee_db
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# - postgres_data:/var/lib/postgresql/data
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ports:
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- 5432:5432
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networks:
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- cognee-network
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redis:
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image: redis:7-alpine
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container_name: redis
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profiles:
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- redis
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ports:
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- "6379:6379"
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networks:
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- cognee-network
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volumes:
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- redis_data:/data
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command: [ "redis-server", "--appendonly", "yes" ]
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redisinsight:
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image: redislabs/redisinsight:latest
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container_name: redisinsight
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restart: always
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ports:
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- "5540:5540"
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networks:
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- cognee-network
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networks:
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cognee-network:
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name: cognee-network
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volumes:
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postgres_data:
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redis_data:
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