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Dify D

Dify

by AI Productivity Tools

Dify is an open source LLMOps platform that supports the rapid construction of AI workflows, RAG knowledge bases and autonomous Agent applications through a visual interface, moving from prototype to production without in-depth programming.

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What is Dify?

Dify is an open source LLMOps platform that supports the rapid construction of AI workflows, RAG knowledge bases and autonomous Agent applications through a visual interface, moving from prototype to production without in-depth programming. Suitable for developers, product teams, and enterprise technology teams to build and deploy AI applications.

Core Features

  • Visual AI workflow orchestration, drag-and-drop to build complex AI processes
  • Built-in RAG pipeline, supports uploading documents to build private knowledge base
  • Multi-model support, compatible with hundreds of LLMs such as OpenAI, Claude, Gemini, etc.
  • Agent capabilities, supporting tool invocation and autonomous task execution
  • Observability monitoring, tracking Token usage, response quality and operation logs

Pricing Plans

The free version (Sandbox) includes 200 calls; the Pro version is $59/month and includes 5,000 calls; it supports open source self-hosting and is completely free and unlimited.

Pros

  • Open source, self-hosted, data security and controllable, no vendor lock-in
  • The visual interface is friendly and non-technical people can get started quickly.
  • Active ecosystem, over 60,000 stars on GitHub, rich plug-ins and integrations

Cons

  • The free cloud version has a limited number of calls, heavy use requires payment or self-built
  • Self-hosted deployment requires certain server operation and maintenance capabilities
  • Advanced function documentation is not complete enough and the learning curve is relatively steep

Dify, developed by LangGenius, is currently one of the most popular open source AI application development platforms, with more than 60,000 GitHub stars. It integrates workflow orchestration, RAG knowledge base, agent construction and model management into one platform, eliminating the need for teams to build AI infrastructure from scratch.