AI Agentic Automation OSS Stack

n8n - Flowise - Crawl4AI  - Quadrant - Redis - SearXNG

All-in-One AI Automation Stack: workflows, agents, vector DB, web scraping

Postgis

railwayapp-templates/timescale-postgis-ssl:pg17-ts2.17

Just deployed

/var/lib/postgresql/data

Redis

bitnamilegacy/redis:latest

Just deployed

/bitnami

Crawl4AI

unclecode/crawl4ai:latest

Just deployed

SearXNG

protemplate/searxng

Just deployed

FlowiseWorker

protemplate/flowiseai-railway

Just deployed

/opt/flowise/.flowise

WebhookProcessor

n8nio/n8n

Just deployed

/n8n-binary-data

Qdrant

qdrant/qdrant

Just deployed

/qdrant/storage

Main

n8nio/n8n

Just deployed

/n8n-binary-data

Flowise

protemplate/flowiseai-railway

Just deployed

/opt/flowise/.flowise

Worker

n8nio/n8n

Just deployed

/n8n-binary-data

🤖 AI Agentic Automation Stack (n8n + Flowise)

Need n8n without Flowise, you can use this template instead https://railway.com/deploy/ai-agentic-automation-stack-n8n?referralCode=KKAfTD

🚀 What's Included

Core Automation Engine

n8n Main: Primary workflow orchestrator for complex business process automation

n8n Worker: Dedicated worker nodes for high-performance parallel processing

n8n WebhookProcessor: Specialized webhook handling for real-time integrationsVisual workflow builder with AI agent integration and multi-step automation

AI Agent Platform

Flowise Main: Advanced AI agent builder with streaming capabilities and multi-agent orchestration

Flowise Worker: Distributed AI processing for concurrent agent conversations

Multi-Agent System: Deploy specialized agents that work together on complex tasks

Supervisor Agent: Intelligent coordination of multi-step user interactions and agent workflows

Qdrant Vector Database: High-performance vector storage for RAG and semantic searchDrag-and-drop multi-agent system builder with supervisor coordinationHigh-performance vector database with visual collection management

Intelligence & Search

SearXNG: Privacy-focused search aggregation for AI-powered research

Crawl4AI: Advanced web scraping and content extraction engine

Redis: In-memory caching for lightning-fast data access

PostgreSQL: Robust data persistence and workflow storagePowerful private search engine with multi-source aggregationIntelligent web content extraction with AI-powered analysis

⚡ Performance & Scale

10,000+ concurrent processes supported out of the box

Real-time AI streaming with seamless user experiences

Distributed architecture for horizontal scaling

Production-ready with proper data persistence and caching

🎯 Perfect For

Business Automation

Customer service automation with coordinated multi-agent teams

Lead qualification with supervisor agents managing step-by-step interactions

Document processing with specialized agents for different content types

Multi-channel communication orchestration with intelligent agent routing

SaaS & Products

Backend automation engine with multi-agent capabilities for your SaaS platform

Step-by-step user onboarding guided by supervisor agents

Complex workflow orchestration with agent specialization

Multi-tenant AI agent infrastructure with isolated agent teams

Enterprise Use Cases

Process automation across departments

AI-powered decision making workflows

Integration hub for multiple business systems

Scalable AI agent deployment

🛠 Key Benefits

One-Click Deployment: Complete stack ready in minutes, not days Cost Effective: Self-hosted solution with no per-execution fees Highly Scalable: Designed for enterprise-grade concurrent processing Multi-Agent Architecture: Deploy teams of specialized AI agents with supervisor coordination Step-by-Step Interactions: Guided user experiences with intelligent agent handoffs AI-Native: Built-in vector database and AI streaming capabilities Production Ready: Includes caching, persistence, and worker distribution

🔧 Technical Stack

Workflow Engine: n8n with distributed worker architecture

AI Platform: FlowiseAI with streaming support and multi-agent orchestration

Agent Coordination: Supervisor agents for complex multi-step interactions

Vector Database: Qdrant for semantic search and RAG

Search Engine: SearXNG for comprehensive web research

Web Scraping: Crawl4AI for intelligent content extraction

Caching: Redis for high-performance data access

Database: PostgreSQL for reliable data persistence

📈 Get Started

Click "Deploy Now" to launch your AI automation stack

Configure your environment variables and API keys

Access n8n and Flowise dashboards to build your first workflows

Scale horizontally by adding more worker instances as needed

Transform your business processes with the power of AI agents and workflow automation - all running on your own infrastructure with complete control and privacy.

Deploy and Host AI Agentic Automation Stack (n8n + Flowise) on Railway

The AI Agentic Automation Stack combines n8n workflow automation with FlowiseAI's multi-agent capabilities, creating a complete enterprise-grade automation platform.

About Hosting AI Agentic Automation Stack (n8n + Flowise)

Hosting this stack involves deploying 9 interconnected services: n8n main orchestrator with distributed workers, FlowiseAI main platform with specialized workers for multi-agent coordination, Qdrant vector database for semantic search and RAG capabilities, SearXNG for private web research, Crawl4AI for intelligent content extraction, Redis for high-performance caching, and PostgreSQL for robust data persistence. Each service is containerized and automatically configured with proper networking, volumes, and environment variables for seamless operation at enterprise scale.

Common Use Cases

Customer Service Automation: Deploy coordinated AI agent teams that handle inquiries, escalate complex issues to supervisor agents, and provide step-by-step user guidance through multi-channel support workflows

Content & Lead Generation: Automate research, content creation, and lead nurturing with specialized agents that collaborate on market analysis, content generation, and personalized outreach campaigns

SaaS Backend Automation: Build intelligent automation engines for your products with multi-agent capabilities, user onboarding workflows, and real-time AI streaming for enhanced user experiences

Data Processing & Analysis: Create sophisticated pipelines that extract web data, process it through AI agents, store insights in vector databases, and trigger automated business decisions

E-commerce & Marketing Automation: Orchestrate product research, competitive analysis, inventory management, and customer journey automation with AI agents specialized in different business functions

Dependencies for AI Agentic Automation Stack (n8n + Flowise) Hosting

PostgreSQL Database: Primary data persistence for n8n workflows, FlowiseAI configurations, and user data

Redis Cache: High-performance in-memory storage for session management, caching, and real-time data access

Qdrant Vector Database: Specialized vector storage for RAG applications, semantic search, and AI memory

Environment Variables: API keys for AI providers (OpenAI, Anthropic, etc.), database connections, and service configurations

Persistent Volumes: Data persistence for PostgreSQL, Qdrant collections, and uploaded files across service restarts

Deployment Dependencies

n8n Documentation - Comprehensive workflow automation guides

FlowiseAI Documentation - Multi-agent AI system setup and configuration

Qdrant Documentation - Vector database configuration and API reference

SearXNG Documentation - Private search engine setup and customization

Crawl4AI Documentation - Web scraping and content extraction configuration

Implementation Details

Environment Configuration:

# Core Services
N8N_HOST=your-n8n-domain.railway.app
FLOWISE_HOST=your-flowise-domain.railway.app
QDRANT_HOST=your-qdrant-domain.railway.app

# Database Connections
POSTGRES_DB=n8n_flowise_stack
REDIS_URL=redis://redis:6379
QDRANT_URL=http://qdrant:6333

# AI Provider APIs
OPENAI_API_KEY=your_openai_key
ANTHROPIC_API_KEY=your_anthropic_key

# Security
N8N_ENCRYPTION_KEY=your_encryption_key
FLOWISE_USERNAME=admin
FLOWISE_PASSWORD=your_secure_password

Service Networking:

# Internal service communication
n8n-main ↔ postgresql (port 5432)
n8n-worker ↔ redis (port 6379)
flowise ↔ qdrant (port 6333)
webhook-processor ↔ n8n-main (port 5678)
crawl4ai ↔ searxng (port 8080)

Multi-Agent Workflow Example:

// n8n webhook triggers FlowiseAI multi-agent system
const triggerMultiAgent = {
webhook: '/customer-inquiry',
flow: {
supervisor: 'route-to-specialist',
agents: ['research-agent', 'analysis-agent', 'response-agent'],
coordination: 'step-by-step-guidance'
}
}