Langflow vs Dify

Detailed side-by-side comparison to help you choose the right tool

Langflow

🟡Low Code

Agent Framework

Low-code visual builder for agentic and RAG applications — drag-and-drop nodes to compose LLMs, vector DBs, tools, and MCP servers into deployable AI apps.

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Starting Price

Free
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Dify

🟡Low Code

AI app platform

Dify supports visual ai workflows, knowledge retrieval, agent tools for business ai applications and production llm workflows.

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Starting Price

Free
Full ReviewVisit Site

Feature Comparison

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FeatureLangflowDify
CategoryAgent FrameworkAI app platform
Pricing Plans22 tiers31 tiers
Starting PriceFreeFree
Key Features
  • • Low-code visual builder for agentic and RAG applications
  • • Build and deploy AI agents and MCP servers
  • • Supports major LLMs, vector databases, and AI tools
  • • Agentic workflow builder for LLM applications
  • • Chatbot and assistant development workflows
  • • RAG-backed app patterns for knowledge products

💡 Our Take

Choose Langflow if you want a Python-native visual builder with deep custom component support and MCP server generation for agent tooling. Choose Dify if you need a more opinionated LLMOps platform with built-in dataset management, prompt versioning, and a polished end-user chat UI out of the box for non-developer stakeholders.

Langflow - Pros & Cons

Pros

  • ✓Visual graphs make model, tool, prompt, and retrieval wiring inspectable
  • ✓Supports OpenAI, Anthropic, Google, Mistral, Groq, Ollama, and others
  • ✓Integrates with Pinecone, Weaviate, Chroma, Milvus, and Astra
  • ✓MCP and REST exposure make flows reusable by other applications

Cons

  • ✗Large visual graphs can become difficult to review and version
  • ✗Production deployments still need authentication, tracing, retries, and scaling
  • ✗Provider integrations may expose different feature depth and upgrade cadence
  • ✗Hosted pricing and support boundaries require manual verification

Dify - Pros & Cons

Pros

  • ✓Visual orchestration reduces boilerplate for common LLM flows
  • ✓Model flexibility helps teams compare providers
  • ✓Self-hosting and MCP support suit technical integration teams

Cons

  • ✗Production deployments still require monitoring and security engineering
  • ✗Complex workflows can become difficult to debug visually
  • ✗Hosted pricing and current usage limits could not be verified

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🔒 Security & Compliance Comparison

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Security FeatureLangflowDify
SOC2——
GDPR——
HIPAA——
SSO—✅ Yes
Self-Hosted✅ Yes✅ Yes
On-Prem✅ Yes✅ Yes
RBAC—✅ Yes
Audit Log—✅ Yes
Open Source✅ Yes✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest—✅ Yes
Encryption in Transit—✅ Yes
Data Residency——
Data Retentionconfigurableconfigurable
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Review LangflowReview Dify