Head to head

dify vs ragflow

5 of 12 recorded facts differ. Everything below is source-reported with a capture date. Niched has not published a buyer verdict for this pair, so nothing here declares a winner. A winner only exists inside a defined buyer niche with stated constraints.

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. dify is open source, written primarily in TypeScript, released under Other. Its repository has 150.8K GitHub stars and 23.8K forks, and was last committed to within the last two weeks. Niched places it in AI agents & autonomous workflows.

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ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

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Every recorded fact

Show differences only
Factdifyragflow
Official SDK installs, 30 daysNot recordedNot recorded
SDK evidence capturedNot recordedNot recorded
GitHub stars151K86.6K
Forks23.8K10.2K
Open issues9222K
Last committodaytoday
Primary languageTypeScriptGo
LicenseOtherApache License 2.0
Open sourceYesYes
Pricing modelNot recordedNot recorded
FoundedNot recordedNot recorded
CategoriesAI agents & autonomous workflowsAI agents & autonomous workflows

Where both compete

Both products are placed in AI agents & autonomous workflows. A category organises the market; it carries no score. See all dify alternatives.