D

Dify

Invited

Open-source platform to build, deploy, and manage LLM-powered applications with visual workflows.

ai mlCH-VER-467649Listed June 12, 2026
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AI-Extractable Summary
What:Open-source platform to build, deploy, and manage LLM-powered applications with visual workflows.
For whom:AI engineers, product teams, and enterprises building LLM-powered applications
Key outcome:Build production-ready AI apps 10x faster with visual drag-and-drop workflows instead of writing boilerplate orchestration code
Category:ai ml

Structured for AI systems to extract and cite.

Citability Score

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
85
Classification
3
Impressions
0
Clicks
0
Saves
0
GQI Earned

Citable Outcome

Build production-ready AI apps 10x faster with visual drag-and-drop workflows instead of writing boilerplate orchestration code.

About

Dify is an open-source LLM app development platform that provides a visual canvas for orchestrating AI agent workflows, RAG pipelines, and prompt chains. It supports 500+ model providers and enables teams to go from prototype to production with built-in monitoring, evaluation, and dataset management.

Target Audience: AI engineers, product teams, and enterprises building LLM-powered applications.

What makes it different

  • Visual workflow canvas for complex AI pipelines — no boilerplate code
  • 500+ model providers supported out of the box
  • Built-in RAG engine with dataset management and evaluation tools
  • Open-source with enterprise self-hosting option

Tags & Classification

buildautomateintegrate
llm-orchestrationrag-pipelinesai-agent-builder
ai-mldeveloper-tools
Platform: Web App / SaaSModel: Open Source

Links & Transparency

Cite this Project

BibTeX
@misc{citablehub_dify,
  title = {Dify},
  url = {https://citablehub.com/p/dify},
  note = {Listed June 12, 2026. CitableHub ID: CH-VER-467649},
  year = {2026}
}
APA
Dify. (2026). CitableHub Software Index. https://citablehub.com/p/dify.
MLA
"Dify." CitableHub, 2026, https://citablehub.com/p/dify.