Dify

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

158944 stars · 25122 forks observed · 2026-10-20

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Dify is an open‑source platform for building production‑ready AI agents, RAG pipelines and agentic workflows with a visual no‑code studio. It can be run as a SaaS service, in a VPC or self‑hosted via Docker.

Use cases

• Create a chatbot that answers questions using your own document collection
• Build an automated RAG pipeline that retrieves and summarizes internal knowledge bases
• Design multi‑step AI agents that call external tools and APIs
• Deploy a custom AI assistant for customer support without writing code
• Integrate proprietary LLMs and third‑party tools through Dify’s plugin marketplace
• Scale prototype AI workflows to production with built‑in monitoring and versioning

When to choose

• You need a collaborative, visual environment to design AI agents and RAG flows quickly.
• Your team prefers a no‑code/low‑code solution but still wants the ability to extend with custom plugins.
• You want a single platform that can be run on cloud, VPC, or on‑premises with Docker.
• You require built‑in support for multiple LLM providers and tool integrations.

When to avoid

• You need fine‑grained control over every component of the stack and prefer building from scratch.
• Your deployment environment does not support Docker or container orchestration.
• You require a lightweight library rather than a full‑stack application.

Facets

application · maturity active

rag workflow-automation api-framework cli plugin-system chatbot llm-inference artificial-intelligence large-language-models chatbots cloud self-hosted windows cli no-code visual-builder knowledge-pipeline marketplace enterprise-ready multi-tenant agentic-workflows retrieval-augmented-generation devops web-server docker linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="langgenius/dify")