langgenius

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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5 days ago

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Overview

Dify is an open-source LLM app development platform that empowers teams to build agentic workflows and RAG pipelines through a visual interface. It offers comprehensive model management and LLMOps capabilities, allowing users to deploy applications on cloud or self-hosted environments. This platform bridges the gap between prototype and production by providing a collaborative workspace for AI application development.

Key Highlights

  • Visual workflow builder with drag-and-drop nodes
  • Support for hundreds of LLMs and tools via marketplace
  • Built-in RAG pipeline for document processing
  • LLMOps observability and monitoring

Best For

Developers and product teams looking to rapidly prototype and deploy production-ready AI applications without managing complex infrastructure.

Summary written from the project's README and homepage on Oct 14, 2026. Spotted something wrong? .

Get started
git clone https://github.com/langgenius/dify.git

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