N8n vs. Dify for AI (www.cyprien.io)

This comparison contrasts two open-source no-code AI workflow platforms—n8n (est. 2019) and Dify (est. 2023)—to help teams choose between automation-first vs AI-first tooling. n8n is lightweight, single-container, Germany-based, and built around broad automation: 500+ native connectors, sub-workflows, and flexible execution (SQLite default, PostgreSQL optional). Dify is AI-native, multi-container (microservices), US/China-backed, and focuses on model management: centralized knowledge bases for RAG, annotation tools, batch test runs, model-deprecation alerts, and easy web publishing. Licensing differs: n8n’s Sustainable Use License permits internal commercial use but discourages exposing core features to end users; Dify’s modified Apache allows commercial use but prohibits multi-tenant offerings without publisher consent—important for SaaS deployments. Technically, n8n excels at integrating external systems and invoking arbitrary tools (HTTP, Lambda, MCP, code blocks) making it better for production automation; it also exposes detailed, exportable logs for debugging. Dify offers richer, more intuitive AI primitives (chatflows, agents, chatbots) and native metrics but limits some integrations (requires function-call models for tools and stricter API formats), and doesn’t export logs easily. Recommendation: pick Dify for fast, non-technical AI app building and RAG-centric workflows; choose n8n for complex automations and extensible integrations—or combine both (n8n for orchestration, Dify for advanced AI capabilities).