Dify
FreemiumVisual AI application development platform
About Dify
Dify is an open-source platform for building LLM-powered applications, written in Python (FastAPI) with a Next.js frontend. Around 60K GitHub stars, making it one of the fastest-growing AI tools on GitHub. Docker Compose gets you running locally in under 10 minutes. It supports a visual workflow builder for chaining LLM calls, RAG with vector database integration (pgvector, Weaviate, Pinecone), agent tools, and multi-model routing. Supported model backends include OpenAI, Anthropic, Google Gemini, Azure OpenAI, and local models via Ollama. The visual workflow builder is the main differentiator over LangChain — you build pipelines by dragging nodes rather than writing Python. Reddit users are impressed by development pace but note breaking changes between versions, documentation that lags behind feature releases, and configuration complexity for production deployments outside Docker Compose. Good for non-engineers building internal AI apps or RAG chatbots over company documents. If you prefer code over visual builders, LangChain or LlamaIndex give more control.
Key Features
Pricing Plans
Community
- Self-hosted
- Full features
- No user limits
Cloud Pro
- 5K message credits
- Priority support
- Custom branding
Enterprise
- Custom pricing
- SSO/SAML
- SLA & dedicated support
Pros
- Visual drag-and-drop AI app builder
- SOC 2 Type II and ISO 27001 certified
- Supports 200+ LLM providers
- Production-proven (Kakaku.com, Volvo)
- Free self-hosted with no feature restrictions
- Plugin marketplace (v1.0+)
Cons
- Steep learning curve (1-2 weeks)
- No polished end-user frontend built in
- Cloud version has low variable limits
- Support quality complaints on paid plans
- Source-available not fully open source
- Requires 6-8 Docker containers
Best For
- Non-engineers building RAG chatbots over internal documents
- Teams prototyping LLM workflows without writing Python
- Organizations wanting a UI-based alternative to LangChain
- Multi-model routing across OpenAI, Anthropic, and local models
Not Ideal For
- Engineers who prefer code-first LLM orchestration
- Production deployments that need proven stability rather than latest features
Potential Deal Breakers
- Breaking changes between versions require careful version pinning
- Documentation regularly lags behind feature releases
- Production deployments beyond Docker Compose require significant additional work
Data & Privacy
Open-source LLM app platform. Self-hosted keeps all data on your infrastructure. Cloud version available. Your AI app data stays under your control. No data used for Dify model training.
Who Is This For?
Hands-on tested May 2026
Signup Experience
Cloud free tier requires email signup and is ready in minutes. Self-hosted deployment via Docker Compose is well-documented and takes around 15 minutes. The onboarding flow walks through connecting an LLM provider API key before building.
For Home Users
Genuinely accessible for non-developers wanting to experiment with AI workflows. The visual builder makes RAG pipelines and chatbot creation tangible without writing code. Free tier is sufficient for personal projects and learning.
For Business Users
Team plan at $159/mo unlocks higher usage limits and priority support. Visual workflow builder accelerates AI app development compared to code-first frameworks. RAG pipeline setup and agent creation are the strongest features. Self-hosting removes per-call costs for teams with high usage volume.
Our Verdict
Dify is the fastest way to build a RAG app without writing code and the visual workflow builder is genuinely useful for prototyping. The rapid development pace is a double-edged sword — features arrive fast but so do breaking changes. Don't use it for production without pinning versions carefully.