Dify vs Langflow

Dify and Langflow are both visual AI application builders, but Dify focuses on production readiness while Langflow emphasizes the visual development experience.

Overview

Dify is an open-source LLM app development platform with a visual orchestration studio, RAG pipeline, agent framework, and production deployment built-in. Langflow is a visual development framework for building AI applications through drag-and-drop component assembly with code export capabilities.

Key Differences

Production focus: Dify includes production features out of the box — API endpoints, logging, user management, versioning. Langflow is more prototyping-focused. RAG integration: Dify has a built-in knowledge base with document processing. Langflow connects to external vector stores but doesn't manage documents itself. Hosting: Dify provides a cloud platform for deployment. Langflow is on DataStax Astra or self-hosted. Code export: Langflow can export flows as Python code for customization. Dify keeps workflows in its orchestration engine.

Verdict

Choose Dify for building production-ready AI applications with minimal code and built-in deployment. Choose Langflow for visual prototyping with the flexibility to export to code when you need more control.