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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… Why it matters: useful plumbing for shipping LLM-powered features.

GitHub description: 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.

Stars

158k

Last 24h

+124est.

Last 7 days

+866est.

Forks

25k

Who it's for

Developers and teams who want to build, test, and deploy LLM applications such as agentic workflows and RAG pipelines, whether they run Dify Cloud or self-host it.

  • Build and test agentic workflows and RAG pipelines on a visual canvas
  • Integrate and compare hundreds of proprietary and open-source LLMs through one interface
  • Monitor app logs and performance to improve prompts and datasets in production

Star history (last 1 snapshot)

Star history for langgenius/dify

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About dify

langgenius/dify is a TypeScript project in the LLM tooling category, created 4 years ago. It has 158k GitHub stars and 25k forks, and gained +866 stars over the last 7 days (early estimate), ranking #45 of 167 LLM tooling repos tracked by OSS Radar this week.

See more trending LLM tooling repos or the top AI repos this week.

Language
TypeScript
Category
LLM tooling
Created
Apr 12, 2023
Last push
Oct 13, 2026
  • 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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