# langgenius/dify

> Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

- GitHub: https://github.com/langgenius/dify
- Website: https://dify.ai
- Category: Automation & Low-code (https://ideas.asveas.com/c/automation)
- Tags: ai-agents, agentic-ai, agentic-framework, agentic-workflow, ai, automation, claude, deepseek, genai, gpt, llm, low-code, mcp, nextjs
- Language: Python · License: Other
- Stars: 160,984 · Forks: 25,459 · Open issues: 1,226
- Last push: 2026-11-11 (today)
- Vibe score: 98/100

## What it is
Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features:

## When to use it
Reach for dify when you want to wire services together or build internal tools without writing everything by hand — it's written in Python and fits stacks tagged ai-agents, agentic-ai, agentic-framework, agentic-workflow.

## Maintenance
langgenius/dify looks very actively maintained: the last push was today (2026-11-11), with 160,984 stars and 1,226 open issues.

## Quick start
```bash
git clone https://github.com/langgenius/dify.git
```

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Source: https://ideas.asveas.com/r/langgenius/dify · Catalog: https://ideas.asveas.com/llms.txt