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.

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Dify 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: 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: After running, you can access the Dify dashboard in your browser at http://localhost/install and start the initialization process. 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. 1. Workflow: Build and test powerful AI workflows on a visual canvas, leveraging all the following features and…

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Read the full README ↗ · Preview checked 2026-10-29T03:40:44.558Z

Inside the original README — Document outline
  1. Quick start
  2. Seeking help
  3. Key features
  4. Using Dify
  5. Staying ahead
  6. Advanced Setup
  7. Contributing
  8. Contributors
  9. Community & contact
  10. Star History
  11. Security disclosure
  12. License

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What this repository does

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.

Repository facts

Owner
langgenius
Primary language
Python
Stars
160,149
Forks
25,318
Open issues + pull requests
1,199
License
Other
Archived
No
Default branch
main
Created
2023-04-12T07:40:24.000Z
Last push
2026-11-01T11:14:09.000Z

Topics and intended use

Owner-supplied topics: agent, agentic-ai, agentic-framework, agentic-workflow, ai, automation, claude, deepseek, genai, gpt, llm, low-code, mcp, nextjs, no-code, openai, python, skills, workflow

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