Dify

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

153595 stars · 24273 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Dify is an open-source LLM application development platform for building agentic workflows and RAG pipelines in a collaborative visual workspace. It supports many AI models and tools and can be deployed on cloud, VPC, or self-hosted infrastructure.

Use cases

• build ai agent workflows without code
• create rag chatbot over my documents
• self-host an llm app platform
• prototype and deploy llm applications
• build ai customer support bot
• orchestrate multiple llm tools in one pipeline
• compare and switch between gpt and claude models

When to choose

• you want a visual, low-code workspace to build LLM agents and RAG apps
• your team needs to move from prototype to production without rebuilding the stack
• you need self-hosted or VPC deployment with broad model support
• non-developers and developers must collaborate on AI workflows

When to avoid

• you need fine-grained programmatic control over agent internals that a low-code platform abstracts away
• you only need a lightweight SDK or library to embed in an existing codebase
• you require a permissive open-source license for commercial redistribution (license is custom)
• your use case is simple single-prompt inference with no workflow needs

Facets

application · maturity active

agent-framework rag workflow-automation chatbot llm-inference prompt-engineering mcp web-framework artificial-intelligence large-language-models chatbots self-hosted self-hosted cloud python low-code no-code llm-app-platform visual-workflow genai openai claude deepseek ai-agents retrieval-augmented-generation automation docker web-server nodejs

Member repositories

For agents

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