dify·Beginner·Last tested: 2026-03·~5 min read

Dify

Dify is an open-source LLM application development platform that provides a visual interface for building AI workflows. It combines RAG pipelines, agent capabilities, and model management into a unified platform for rapid prototyping and deployment.

Key Features

Visual workflow builder - Create AI workflows on a drag-and-drop canvas
Comprehensive model support - Integration with 100+ LLMs including GPT, Mistral, Llama3, and OpenAI-compatible models
RAG pipeline - Document ingestion and retrieval with support for PDFs, PPTs, and common formats
Agent capabilities - Function calling and ReAct agents with 50+ built-in tools (Google Search, DALL-E, Stable Diffusion)
Prompt IDE - Interface for crafting prompts and comparing model performance
LLMOps monitoring - Application logs, performance analytics, and observability features
Backend-as-a-Service - REST APIs for integrating into existing applications

Installation

Info

Requires Docker and Docker Compose. Minimum system requirements: CPU >= 2 Core, RAM >= 4 GiB

git clone https://github.com/langgenius/dify.git
cd dify/docker
cp .env.example .env
docker compose up -d

Access the dashboard at http://localhost/install to complete setup.

Basic Usage

After installation, you can:

Create AI applications using the visual workflow builder
Configure model providers in the settings
Build RAG applications by uploading documents
Deploy agents with custom tools
Monitor performance through the LLMOps dashboard

Tip

Dify Cloud is available for those who prefer a hosted solution without infrastructure management.

Notable Details

Language: TypeScript/Python
License: Custom (check repository for details)
Community: 134k+ GitHub stars, active Discord community
Deployment: Self-hosted or cloud options available