ConfigsApr 1, 2026·1 min read

Dify — Open-Source LLMOps Platform

Dify is an open-source LLMOps platform for building AI apps with visual workflows, RAG, agents, and model management. 130K+ stars. Apache 2.0.

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Quick Use

Use it first, then decide how deep to go

This block should tell both the user and the agent what to copy, install, and apply first.

# Docker Compose (quickest)
git clone https://github.com/langgenius/dify.git
cd dify/docker
cp .env.example .env
docker compose up -d
# Open http://localhost/install

Intro

Dify is an open-source LLMOps platform combining AI workflow builder, RAG pipeline, agent capabilities, model management, and observability in one platform. With 130,000+ GitHub stars and Apache 2.0 license, it provides a visual workflow canvas, supports hundreds of LLM models, built-in RAG with document indexing, AI agents with tool use, prompt IDE, and enterprise features. Self-host with Docker or use Dify Cloud.

Best for: Teams building production AI applications with visual workflows and RAG Works with: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf


Key Features

  • Visual AI workflow builder
  • Built-in RAG with document indexing
  • AI agents with tool use
  • Hundreds of LLM models supported
  • Prompt IDE for testing
  • Enterprise observability and logging
  • Self-hosted or Dify Cloud

FAQ

Q: What is Dify? A: Open-source LLMOps platform with 130K+ stars. Visual workflows, RAG, agents, model management. Apache 2.0.

Q: How do I install Dify? A: git clone, cd docker, docker compose up -d. Access at localhost/install.


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Source & Thanks

langgenius/dify — 130,000+ GitHub stars

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