ScriptsMar 29, 2026·1 min read

Dify — Open-Source LLMOps Platform

Visual platform for building AI applications. Drag-and-drop workflow editor, RAG pipeline, agent builder, and API deployment. Self-hostable alternative to Zapier AI.

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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.

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

Open http://localhost/install to set up.


Intro

Dify is a visual platform for building production AI applications without deep coding. Design workflows with a drag-and-drop editor, build RAG pipelines, create AI agents, and deploy as APIs — all from a web interface.

Best for: AI app prototyping, internal tools, customer support bots, document Q&A, workflow automation Works with: OpenAI, Anthropic, Google, Azure, Ollama, HuggingFace, 50+ model providers


Key Features

  • Visual Workflow Builder — Drag-and-drop nodes for LLM calls, conditions, loops, tools
  • RAG Engine — Upload documents, auto-chunk, embed, and query with citation
  • Agent Builder — ReAct or function-calling agents with custom tools
  • Prompt IDE — Test and iterate prompts with variable injection
  • API-First — Every app gets a REST API endpoint automatically
  • Self-Hosted — Full data control, Docker deployment

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Source & Thanks

Created by LangGenius. Licensed under Apache 2.0. langgenius/dify — 55K+ GitHub stars

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