Dify
Visual AI app builder โ RAG, agents, workflows, and MCP in one platform
๐ Overview
Dify is a production-ready visual platform for building AI applications โ combining RAG pipelines, agentic workflows, model orchestration, and observability in a single interface. Unlike LangChain (code-only) or Flowise (basic visual builder), Dify gives you a full IDE for AI apps: visual prompt chaining, document ingestion with OCR/embedding, tool-use agents with MCP support, conversation flow design, and built-in analytics. The platform supports 100+ LLM providers (OpenAI, Anthropic, Gemini, Llama, Qwen, etc.) with a unified API layer, and the RAG engine handles chunking, reranking, and hybrid search out of the box. Apache 2.0 licensed with a generous free tier.
โจ Key Features
- โข149K+ GitHub stars โ largest visual AI builder
- โขFull RAG pipeline: ingestion, chunking, embedding, hybrid search, reranking
- โข100+ LLM providers via unified API layer
- โขVisual agent canvas with MCP tool-use support
- โขBuilt-in observability: conversation logging, annotation, analytics
- โขMulti-model orchestration: route prompts by cost, latency, or capability
- โขApache 2.0 license โ no vendor lock-in, no usage caps on self-hosted
๐ฏ The Problem It Solves
Building production AI apps requires stitching together 5+ tools: a vector DB, an embedding service, a prompt manager, an observability stack, and a UI. Dify collapses all of these into one platform โ letting teams go from prototype to production in days instead of months.
๐ง How It Works
Apps are built visually on a canvas: drag nodes for LLM calls, knowledge retrieval, conditionals, tool use, and code execution. The RAG engine ingests documents (PDF, HTML, Notion, etc.), chunks them, embeds them, and serves them via hybrid search (dense + sparse). Agents can call external tools via MCP or custom API definitions. All conversations are logged and annotated for continuous improvement. Deploy via Docker or Dify Cloud.
๐ Installation & Quick Start
Installation
git clone https://github.com/langgenius/dify && cd docker && docker compose up -dQuick Start
- git clone && docker compose up
- Open localhost:install
- Setup admin
- Create app in visual builder
โ Pros
- โขMost complete visual AI builder โ RAG + agents + workflows in one
- โข100+ LLM providers with unified API โ switch models without code changes
- โขProduction-grade RAG with OCR, hybrid search, and reranking
- โขMCP support for agent tool-use is native, not bolted-on
- โขBuilt-in analytics and conversation annotation for continuous improvement
- โขSelf-hosted is completely free with no message caps
- โขActive community with templates, plugins, and enterprise support
โ Cons
- โขVisual canvas becomes limiting for complex multi-step logic
- โขFree cloud tier message caps (50K/mo) are tight for production
- โขSelf-hosting requires PostgreSQL, Redis, and Weaviate โ not lightweight
- โขCustom tool integrations sometimes require code despite visual promise
- โขEnterprise pricing requires sales conversation โ no self-serve
๐ฌ Practitioner Verdict
โDify is the most complete visual AI app builder available in 2026 โ the RAG engine alone justifies adoption, and the MCP/agent support keeps it current. The trade-off: the visual canvas can feel limiting for complex multi-step logic, and the free cloud tier has tight message caps. For teams that want to ship AI apps without building infrastructure, Dify is the default.โ
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
โญ Star & Clone on GitHubFree forever. Your infrastructure, your data.
Dify Cloud Free
50K messages/mo, 5 apps
- 50K messages
- 5 apps
- Community support
Dify Cloud Pro
1M messages, unlimited apps
- 1M messages
- Unlimited apps
- Priority support
Dify Cloud Team
SSO, team collaboration, audit
- SSO
- Team workspaces
- Audit logs
Enterprise
VPC, HIPAA, dedicated support
- VPC/HIPAA
- Dedicated support
- Custom SLA
Deployment Options
Ways to run Dify in production
๐ Specifications
- Language
- TypeScript + Python
- License
- Apache-2.0
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
๐ฐ Pricing Reality
Self-hosted is 100% free Apache 2.0. Cloud: Free tier (50K messages/mo), Pro 9/mo (1M messages), Team 59/mo (unlimited apps, SSO), Enterprise custom (VPC, HIPAA, dedicated support). LLM API usage billed separately.