dify
langgenius/dify · Updated
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.
langgenius/dify is a Python repository in the MCP & Tooling category with 159,892 stars and 25,253 forks on GitHub, last updated today.
How to install dify in your AI client
Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.
How to install dify in Claude CodeAnthropic's agentic CLI
Clone & open
bashgit clone https://github.com/langgenius/dify.git cd dify claudeLet Claude read it
Ask “/init” to generate a CLAUDE.md, then have Claude explain, run, or extend the codebase. It reads files on demand.
How to install dify in Claude DesktopDesktop app (MCP config)
Clone the repository
bashgit clone https://github.com/langgenius/dify.gitOpen in your AI editor
Open the folder in your assistant and ask it to index the codebase, then reference files in chat.
How to install dify in CursorAI-first code editor
Clone & open in Cursor
bashgit clone https://github.com/langgenius/dify.gitIndex & chat
Open the folder — Cursor indexes it automatically. Use @Codebase in chat to ask about it or scaffold from it.
How to install dify in Codex CLIOpenAI coding agent
Clone
bashgit clone https://github.com/langgenius/dify.gitPoint Codex at it
Run codex in the repo root; add setup notes to AGENTS.md so the agent knows how to build & test.
How to install dify in WindsurfCodeium's agentic IDE
Clone & open
bashgit clone https://github.com/langgenius/dify.gitUse Cascade
Windsurf indexes the workspace; ask Cascade to explain or reuse modules from the repo.
How to install dify in ClineVS Code autonomous agent
Clone the repository
bashgit clone https://github.com/langgenius/dify.gitOpen in your AI editor
Open the folder in your assistant and ask it to index the codebase, then reference files in chat.
How to install dify in VS CodeCopilot / MCP support
Clone the repository
bashgit clone https://github.com/langgenius/dify.gitOpen in your AI editor
Open the folder in your assistant and ask it to index the codebase, then reference files in chat.
Documentation
Full READMEDify Cloud · Self-hosting · Documentation · Dify edition overview
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:
Quick start
Before installing Dify, make sure your machine meets the following minimum system requirements: - CPU >= 2 Core - RAM >= 4 GiB
The easiest way to start the Dify server is through Docker Compose. Before running Dify with the following commands, make sure that Docker and Docker Compose v2.24.0 or later are installed on your machine:
cd dify
cd docker
cp .env.example .env
docker compose up -dAfter running, you can access the Dify dashboard in your browser at http://localhost/install and start the initialization process.
Seeking help
Please refer to our FAQ if you encounter problems setting up Dify. Reach out to the community and us if you are still having issues.
If you'd like to contribute to Dify or do additional development, refer to our guide to deploying from source code
Key features
1. Workflow: Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
2. Comprehensive model support: Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found here.
3. Prompt IDE: Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.
Excerpt — the full document is on GitHub.
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