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Dify

langgenius/dify

Open-source LLM app platform — build assistants, RAG, and agent apps with a product UI. GitHub: langgenius/dify (~152k stars).

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GitHub repository

https://github.com/langgenius/dify
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Overview

Dify is the open-source project at langgenius/dify on GitHub (https://github.com/langgenius/dify). Open-source LLM app platform — build assistants, RAG, and agent apps with a product UI. Category on LimeDock: ai-powered. Approximate community size: ~152k GitHub stars. Repo (copy/paste): https://github.com/langgenius/dify This LimeDock Directories page explains what it is and how teams use it in plain English — so searches for the GitHub project can land on a practical guide.

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Link

https://github.com/langgenius/dify
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Installation guide

Open the GitHub repository, then follow the README for your stack.

Official GitHub repository: https://github.com/langgenius/dify GitHub path: langgenius/dify

How to open it: 1. Copy this URL: https://github.com/langgenius/dify 2. Clone or follow the README install for your OS / stack. 3. Start with the smallest example in their docs before production use.

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How to use it

**Simple example** You want an internal AI app with auth, knowledge, and tools without building the whole console.

1. Deploy Dify. 2. Create an app, upload a knowledge base. 3. Invite teammates to try the assistant. 4. Iterate prompts before custom code.

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Example prompts

  • “Deploy Dify and create a support assistant over our docs.”
  • “Compare Dify vs Langflow for an internal tools team.”
  • “How do we add a custom tool to Dify?”
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Use cases and examples

  • Evaluate langgenius/dify for your stack
  • Onboard a teammate to Dify with a shared checklist
  • Compare Dify against tools you already pay for
  • Capture lessons in your internal wiki after a pilot
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Prerequisites

  • Server resources
  • Model provider keys
  • Doc corpus for RAG
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Tips

  • Great for internal apps; still own your data retention policy.
  • Monitor hallucinations on customer-facing use.