# 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.

## Install

Save as a script file and run:

## Quick Use

```bash
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.

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## 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

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## 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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### FAQ

**Q: What is Dify?**
A: Visual platform for building AI applications. Drag-and-drop workflow editor, RAG pipeline, agent builder, and API deployment. Self-hostable alternative to Zapier AI.

**Q: How do I install Dify?**
A: Check the Quick Use section above for step-by-step installation instructions. Most assets can be set up in under 2 minutes.

## Source & Thanks

> Created by [LangGenius](https://github.com/langgenius). Licensed under Apache 2.0.
> [langgenius/dify](https://github.com/langgenius/dify) — 55K+ GitHub stars

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Source: https://tokrepo.com/en/workflows/2464dd99-88dc-4a6f-91ef-9a181bacb332
Author: Script Depot