OpenClaw n8n Stack: Self-Hosted AI Agents with Workflow Automation

What it does

• Deploys OpenClaw (Claude-powered AI agent gateway) and n8n (visual workflow automation) in a single Docker Compose stack
• Provides pre-configured communication between AI agents and workflow triggers via webhooks
• Includes 4 ready-to-use workflow templates for email triage, social media monitoring, and multi-LLM validation
• Enables AI agents to trigger n8n workflows, call external services, and process data automatically

Skills You Need

• openclaw-n8n-stack - Pre-configured Docker stack combining OpenClaw AI agents with n8n workflows
• automation-workflows - Design and implement automation workflows across n8n and other platforms

Pain Point

Building an AI automation platform from scratch typically involves:

• Manually configuring AI agents with multiple service integrations
• Setting up webhook infrastructure to connect AI reasoning with workflow triggers
• Managing separate deployment pipelines for AI components and automation tools
• Lack of pre-built workflow templates for common use cases

This stack addresses the integration complexity by providing a pre-configured environment where OpenClaw and n8n work together out of the box.

Core value of this case

OpenClaw n8n Stack provides a fast path to self-hosted AI automation by combining reasoning capabilities with visual workflows. For developers and automation enthusiasts, the direct value includes:

• Skip manual configuration of OpenClaw-n8n integration (webhooks, networking, volumes)
• Get started with 4 production-ready workflow templates immediately
• Deploy a complete AI automation platform in under 10 minutes
• Maintain full control over data and API keys (self-hosted)

Typical scenarios

• Email triage: AI agent reads and summarizes emails, triggers Slack notifications via n8n workflows
• Content pipeline: Research → write → fact-check → publish, orchestrated by AI and workflows
• Social media monitoring: Track mentions and trends, generate AI-powered responses automatically
• Automated reporting: Generate reports using natural language queries with data processing
• Multi-model AI validation: Use Claude, ChatGPT, and Gemini together for cross-model fact-checking

How to setup

Prerequisites

• Docker and Docker Compose installed
• Anthropic API key (for Claude)
• Optional: OpenAI and/or Google AI keys for multi-model workflows

Installation Steps

Access Points

Import Workflow Templates

1. Open n8n at http://localhost:5678
2. Go to Workflows → Import from File
3. Import any workflow from the workflows/ directory
4. Configure credentials and activate

Configuration

• Edit config/openclaw.json to customize default model, thinking level, skills, and channel configurations
• Set up credentials in n8n UI (Credentials → Add Credential)
• Update N8N_WEBHOOK_URL in .env for production deployments with public URLs

Example: Call n8n from OpenClaw

The N8N_WEBHOOK_BASE environment variable is pre-configured so OpenClaw knows where to find n8n.

Maintenance

Production Security Checklist

• Use strong passwords for n8n
• Put behind a reverse proxy with HTTPS
• Don't expose ports directly to the internet
• Keep API keys secure (never commit .env)
• Review n8n's security best practices

Troubleshooting

• Ensure both containers are on the same network
• Check docker-compose logs openclaw for errors
• Verify API keys are set correctly
• Ensure port 5678 is accessible for n8n webhooks
• Check Docker volumes: docker system df
• Prune unused: docker system prune -a

Archived Materials

Workflow Templates

The workflows/ directory includes 4 ready-to-use templates:

• ripr-chatgpt-validator.json - Multi-LLM fact-checking (ChatGPT)
• ripr-gemini-validator.json - Multi-LLM fact-checking (Gemini)
• email-triage.json - AI-powered email summarization
• social-monitor.json - Track mentions and trends

Architecture Diagram

Related Links

• OpenClaw n8n Stack — Pre-configured Docker deployment stack
• OpenClaw — AI agent framework
• n8n — Workflow automation platform
• n8n Security Best Practices — Production deployment security guide

FAQ

Do I need both Anthropic and OpenAI API keys?

No. Anthropic API key is required (for Claude). OpenAI and Google AI keys are optional, only needed if you want to use multi-model workflows.

Can I run this on a remote server?

Yes. For remote deployment, update N8N_WEBHOOK_URL in .env to your public domain or IP address so OpenClaw can reach n8n webhooks. Consider using a reverse proxy with HTTPS for security.

How do I add my own workflows?

Create workflows in n8n's visual editor, then export them to the workflows/ directory. You can also import existing n8n workflows and connect them to OpenClaw via webhooks.

Is this suitable for production use?

The stack provides a solid foundation, but for production you should implement additional security measures: reverse proxy with HTTPS, strong passwords, firewall rules, and regular backups. Review n8n's security documentation for best practices.

Can I customize OpenClaw's behavior?

Yes. Edit config/openclaw.json to configure default model, thinking level, enabled skills/tools, and channel configurations. This allows you to tailor the AI agent to your specific use cases.

What resources does this stack require?

Minimum requirements depend on your workflow complexity. For basic use cases, 2GB RAM and 2 CPU cores should be sufficient. For heavier AI processing or multiple concurrent workflows, consider 4GB+ RAM and dedicated resources.