Ai-Workflows

TL;DR Install n8n with Docker for self-hosted workflow automation. Quick test: docker run -it --rm -p 5678:5678 n8nio/n8n. Production requires Docker Compose with persistent volumes. For updating existing deployments, see How to Update n8n Docker Container. A production-ready setup requires a docker-compose.yml file that defines persistent storage, sets N8N_EDITOR_BASE_URL for external access, and configures encryption keys. The self-hosted version is free and open-source, giving you full control over data and unlimited workflow executions. You can integrate AI capabilities through dedicated nodes like AI Agent and AI Chain, which connect to OpenAI, Anthropic, or local LLM endpoints. ...

TL;DR Running n8n with Docker Compose gives you a production-ready automation platform for AI workflows without managing complex dependencies. This guide walks through setting up n8n with persistent storage, environment configuration, and AI integrations using OpenAI, Anthropic, and local LLMs. Docker Compose handles multi-container orchestration, making it straightforward to add PostgreSQL for workflow history, Redis for queue management, and reverse proxies for SSL termination. The setup takes under 10 minutes and provides a stable foundation for building AI-powered workflows that process documents, generate content, and orchestrate multi-step automations. ...