
Dify
Open-source platform for building, deploying, and managing LLM applications and AI agents with a visual workflow builder and built-in RAG
Open-source self-hosted version is free; Dify Cloud has a free tier with paid plans from $59/month
Overview
Dify is an open-source LLM application development platform that makes it easy to build and deploy AI-powered apps without deep ML expertise. It combines a visual workflow builder, RAG pipeline management, and a model-agnostic runtime to let teams ship production AI apps from a single platform.
Key Features
- Visual workflow builder for orchestrating LLM chains and agent logic
- Built-in RAG pipeline with document ingestion, chunking, and vector retrieval
- Supports 100+ models including OpenAI, Anthropic, open-source, and self-hosted LLMs
- REST API and SDK for integrating AI features into existing applications
- Agent mode with tool calling for web search, code execution, and custom integrations
- Self-hostable with Docker; managed cloud version available
Pricing: Open-source (free to self-host); cloud plans starting at $59/month.
Pros
- Visual workflow builder makes complex LLM pipelines accessible without writing code
- Built-in end-to-end RAG — document ingestion, indexing, and retrieval out of the box
- Fully self-hostable for complete data privacy and control
- Supports all major LLM providers including OpenAI, Anthropic, and open-source models
Cons
- Visual builder becomes limiting for highly complex or custom business logic
- Self-hosted deployment requires infrastructure knowledge to maintain
- Less suited for code-first developers who prefer programmatic frameworks like LangChain
Tags
Product Updates
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