Local AI Agent Workflow

The ultimate guide to local AI and AI agents - the future is here. Build a local AI system featuring an n8n workflow agent with open-source components for complete privacy and offline operation.

Workflow Overview

This masterclass covers setting up open-source components such as Ollama, Supabase, CRXNG, and Open Web UI to create a private, offline AI solution. It explains LLM configuration, quantization, Docker containerization, and cloud deployment while providing a free n8n agent JSON template.

Pricing & Implementation

  • • Platform Cost: n8n ($20/month or self-hosted free)
  • • Setup Time: 4-6 hours with comprehensive guide
  • • ROI Timeframe: Typically 8-12 weeks

Use our ROI calculator for your specific use case.

Required Tools & Integrations

  • n8n (self-hosted recommended)
  • Ollama for local LLM hosting (free)
  • Supabase for database ($0-25/month)
  • CRXNG components (open-source)
  • Open Web UI (free)
  • Docker containerization (free)

Total monthly cost: ~$0-45 depending on hosting choices.

Steps

  1. Set up Ollama for local LLM configuration and hosting
  2. Configure Supabase for local data storage
  3. Implement CRXNG components for system integration
  4. Set up Open Web UI for user interface
  5. Configure Docker containerization for deployment
  6. Implement cloud deployment options and n8n integration

Business Benefits & ROI

  • Privacy: Complete data privacy with offline operation
  • Cost Savings: No ongoing API costs for LLM usage
  • Control: Full control over AI models and configurations
  • Scalability: Scale according to hardware capabilities
  • Customization: Quantization and model optimization options

Video Tutorial Available

Comprehensive masterclass by Cole Medin. Free n8n agent JSON template for easy import with complete setup guide.

Ready to Deploy

Perfect for enterprises, developers, and organizations requiring private AI solutions with complete data control and offline capabilities.