claude-flow
Version:
Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration
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YAML
# Docker Compose for Claude Flow V3 Headless Worker Pool
# ADR-020: Headless Worker Integration Architecture - Phase 3
#
# Usage:
# docker-compose -f docker-compose.workers.yml up -d
# docker-compose -f docker-compose.workers.yml scale worker-pool=5
# docker-compose -f docker-compose.workers.yml down
#
# Environment Variables (required):
# ANTHROPIC_API_KEY - Your Anthropic API key
#
# Optional:
# CLAUDE_FLOW_WORKERS - Comma-separated list of workers to enable
# CLAUDE_FLOW_SANDBOX - Sandbox mode (strict, permissive, disabled)
version: '3.8'
services:
# Worker Pool - Scalable headless worker containers
worker-pool:
image: ghcr.io/ruvnet/claude-flow-headless:latest
build:
context: .
dockerfile: Dockerfile.headless
deploy:
replicas: 3
resources:
limits:
cpus: '2'
memory: 4G
reservations:
cpus: '0.5'
memory: 1G
restart_policy:
condition: on-failure
delay: 5s
max_attempts: 3
environment:
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
- CLAUDE_CODE_HEADLESS=true
- CLAUDE_CODE_SANDBOX_MODE=${CLAUDE_FLOW_SANDBOX:-strict}
- CLAUDE_FLOW_WORKERS=${CLAUDE_FLOW_WORKERS:-audit,optimize,testgaps}
- REDIS_URL=redis://redis:6379
- NODE_ENV=production
volumes:
- workspace:/workspace:ro
- claude-flow-state:/root/.claude-flow
- worker-logs:/var/log/claude-flow
command: npx claude-flow@v3alpha daemon start --foreground --headless
networks:
- claude-flow-network
depends_on:
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "node", "-e", "require('http').get('http://localhost:3000/health', (res) => process.exit(res.statusCode === 200 ? 0 : 1))"]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s
# Queue Manager - Coordinates task distribution
queue-manager:
image: ghcr.io/ruvnet/claude-flow-headless:latest
build:
context: .
dockerfile: Dockerfile.headless
environment:
- REDIS_URL=redis://redis:6379
- QUEUE_MODE=manager
- MAX_WORKERS=${MAX_WORKERS:-10}
- NODE_ENV=production
volumes:
- claude-flow-state:/root/.claude-flow
- queue-logs:/var/log/queue-manager
command: npx claude-flow@v3alpha queue manager --workers ${MAX_WORKERS:-10}
networks:
- claude-flow-network
depends_on:
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "node", "-e", "require('http').get('http://localhost:3001/health', (res) => process.exit(res.statusCode === 200 ? 0 : 1))"]
interval: 30s
timeout: 10s
retries: 3
# Redis - Message queue and result storage
redis:
image: redis:7-alpine
command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
volumes:
- redis-data:/data
networks:
- claude-flow-network
ports:
- "6379:6379"
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 5s
retries: 5
# Metrics Dashboard (optional) - Prometheus metrics
metrics:
image: prom/prometheus:latest
profiles:
- monitoring
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml:ro
- prometheus-data:/prometheus
ports:
- "9090:9090"
networks:
- claude-flow-network
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.enable-lifecycle'
# Grafana Dashboard (optional)
grafana:
image: grafana/grafana:latest
profiles:
- monitoring
environment:
- GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_PASSWORD:-admin}
- GF_USERS_ALLOW_SIGN_UP=false
volumes:
- grafana-data:/var/lib/grafana
- ./grafana/dashboards:/etc/grafana/provisioning/dashboards:ro
- ./grafana/datasources:/etc/grafana/provisioning/datasources:ro
ports:
- "3000:3000"
networks:
- claude-flow-network
depends_on:
- metrics
networks:
claude-flow-network:
driver: bridge
ipam:
config:
- subnet: 172.28.0.0/16
volumes:
workspace:
driver: local
driver_opts:
type: none
o: bind
device: ${WORKSPACE_PATH:-.}
claude-flow-state:
worker-logs:
queue-logs:
redis-data:
prometheus-data:
grafana-data: