docker-compose.yml•4.08 kB
services:
cognee:
container_name: cognee
networks:
- cognee-network
build:
context: .
dockerfile: Dockerfile
volumes:
- ./cognee:/app/cognee
- .env:/app/.env
environment:
- DEBUG=false # Change to true if debugging
- HOST=0.0.0.0
- ENVIRONMENT=local
- LOG_LEVEL=ERROR
extra_hosts:
# Allows the container to reach your local machine using "host.docker.internal" instead of "localhost"
- "host.docker.internal:host-gateway"
ports:
- 8000:8000
- 5678:5678 # Debugger port
deploy:
resources:
limits:
cpus: "4.0"
memory: 8GB
# Cognee MCP Server - Model Context Protocol server for IDE integration
cognee-mcp:
container_name: cognee-mcp
profiles:
- mcp
networks:
- cognee-network
build:
context: .
dockerfile: cognee-mcp/Dockerfile
volumes:
- .env:/app/.env
environment:
- DEBUG=false # Change to true if debugging
- ENVIRONMENT=local
- LOG_LEVEL=INFO
- TRANSPORT_MODE=sse
# Database configuration - should match the main cognee service
- DB_PROVIDER=${DB_PROVIDER:-sqlite}
- DB_HOST=${DB_HOST:-host.docker.internal}
- DB_PORT=${DB_PORT:-5432}
- DB_NAME=${DB_NAME:-cognee_db}
- DB_USERNAME=${DB_USERNAME:-cognee}
- DB_PASSWORD=${DB_PASSWORD:-cognee}
# MCP specific configuration
- MCP_LOG_LEVEL=INFO
- PYTHONUNBUFFERED=1
extra_hosts:
- "host.docker.internal:host-gateway"
ports:
- "8000:8000" # MCP port
- "5678:5678" # MCP debugger port
deploy:
resources:
limits:
cpus: "2.0"
memory: 4GB
# NOTE: Frontend is a work in progress and supports minimum amount of features required to be functional.
# 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)
frontend:
container_name: frontend
profiles:
- ui
build:
context: ./cognee-frontend
dockerfile: Dockerfile
volumes:
- ./cognee-frontend/src:/app/src
- ./cognee-frontend/public:/app/public
ports:
- 3000:3000
# - 9229:9229 # Debugging
networks:
- cognee-network
neo4j:
image: neo4j:latest
container_name: neo4j
profiles:
- neo4j
ports:
- 7474:7474
- 7687:7687
environment:
- NEO4J_AUTH=neo4j/pleaseletmein
- NEO4J_PLUGINS=["apoc", "graph-data-science"]
networks:
- cognee-network
chromadb:
image: chromadb/chroma:0.6.3
container_name: chromadb
profiles:
- chromadb
environment:
- IS_PERSISTENT=TRUE
- CHROMA_SERVER_AUTH_CREDENTIALS=${VECTOR_DB_KEY}
- CHROMA_SERVER_AUTH_CREDENTIALS_PROVIDER=chromadb.auth.token.TokenConfigServerAuthCredentialsProvider
- CHROMA_SERVER_AUTH_TOKEN_TRANSPORT_HEADER=AUTHORIZATION
- CHROMA_SERVER_AUTH_PROVIDER=chromadb.auth.token.TokenAuthServerProvider
volumes:
- .chromadb_data/:/chroma/chroma/
networks:
- cognee-network
ports:
- "3002:8000"
postgres:
image: pgvector/pgvector:pg17
container_name: postgres
profiles:
- postgres
environment:
POSTGRES_USER: cognee
POSTGRES_PASSWORD: cognee
POSTGRES_DB: cognee_db
# - postgres_data:/var/lib/postgresql/data
ports:
- 5432:5432
networks:
- cognee-network
redis:
image: redis:7-alpine
container_name: redis
profiles:
- redis
ports:
- "6379:6379"
networks:
- cognee-network
volumes:
- redis_data:/data
command: [ "redis-server", "--appendonly", "yes" ]
redisinsight:
image: redislabs/redisinsight:latest
container_name: redisinsight
restart: always
ports:
- "5540:5540"
networks:
- cognee-network
networks:
cognee-network:
name: cognee-network
volumes:
chromadb_data:
postgres_data:
redis_data: