LLM app development
visual workflows for AI products
// official site: dify.ai ↗
AI / LLM · PRO TIER
Difypro
Dify is an open-source LLM application development platform — visual workflow builder, RAG pipelines, prompt engineering, agent system, model management, monitoring. The "platform" layer for building AI applications: chatbots, agents, copilots, RAG apps.
// What it is
A closer look.
Dify is an open-source LLM application development platform — visual workflow builder, RAG pipelines, prompt engineering, agent system, model management, monitoring. The "platform" layer for building AI applications: chatbots, agents, copilots, RAG apps.
Where Flowise/Langflow are LangChain-visual, Dify is platform-first with broader scope.
// Use cases
What it's for.
Concrete scenarios where teams pick Dify over the SaaS alternative.
RAG over your docs
full RAG pipeline visual builder
Agent systems
define agents with tools + memory
Chatbot deployment
embed AI apps on marketing sites
API exposure
every flow becomes a REST endpoint
// Who it's for
Built for these teams.
If your team profile matches one of these, Dify is a strong fit out of the box.
AI engineering teams
building LLM products at scale
Product teams
wanting visual AI workflow design
Indie SaaS founders
shipping AI features without writing chains
Agencies
delivering AI products to clients faster
Enterprises
standardizing AI workflow tooling
// Differentiators
Why teams pick Dify.
When evaluating self-hosted options for this category, here are the dimensions on which Dify consistently lands above the alternatives.
- ✓Apache 2.0 — fully open
- ✓Platform-grade — beyond pure LangChain visualization
- ✓Multi-tenant — workspaces + apps + members
- ✓Strong RAG — document ingestion + chunking + retrieval built in
- ✓Active development — backed by LangGenius
- ✓Plugin marketplace — extend with tools
// Integrations
Connects to.
The stack you'll plug Dify into — services, protocols, and adjacent apps in the BluixApps catalog.
◇
LLM providers
OpenAI, Anthropic, Google, Ollama, Mistral, Cohere, AWS Bedrock, 40+ more
◈
Vector stores
Weaviate (built-in), Qdrant, Milvus, pgvector, Pinecone
◆
Document loaders
PDF, DOCX, Markdown, HTML, web URLs, Notion, Confluence
▣
Tools
web search, code interpreter, custom HTTP, MCP servers
▦
Auth
local + OAuth (Google, GitHub, custom OIDC) + SAML
▩
API
REST + WebSocket for chat
▼
Embedded chatbots
<script> tag for marketing sites
// Adoption & deployment
Notable users & community
- 60k+ GitHub stars
- Used by enterprises building internal AI tools
- Backed by LangGenius with sustainable commercial cloud
- Active Discord community
- Featured in LLM platform comparisons
What we ship
- Official Dify docker-compose (10+ services)
- Auto-generated SECRET_KEY
- Console + API on port 8086 (mapped from nginx 80)
- Persistent volumes for all stateful services
- Pre-configured to detect Ollama on same VPS for local LLM
- Compose at
/opt/dify/repo/docker/docker-compose.yaml - Backup hook covers Postgres + Weaviate + uploads
// Tips & operations
Run it properly.
Operational guidance from running this in production — what to lock down, what surprises people.
// PERFORMANCE
Heavy stack
10+ containers, 4 GB RAM minimum, 8+ recommended
// SECURITY
First-run wait
services take 5-10 min to fully boot
// OPERATIONS
Persistent storage critical
vectors + chats + workspace config
// RELIABILITY
Workspace isolation
multi-team setups need careful permission design
// DEPLOYMENT
API rate limit
Dify exposes API endpoints; rate-limit at proxy
// SCALING
Backup is multi-volume
Postgres + Weaviate + uploads + sandbox
4096
// min ram (MB)
16
// min disk (GB)
8086
// access port
http
// protocol
pro
// bluixapps tier
// Alternatives in AI / LLM
Compare with
Project resources
Official sitedify.ai ↗