Langflow vs Dify

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

Langflow

🟡Low Code

Visual AI agent builder

An open-source visual framework for building and deploying AI agents, retrieval flows, and Model Context Protocol services.

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Starting Price

Free
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Dify

🟡Low Code

LLM application platform

Dify review covering visual LLM workflows, agents, RAG, self-hosting, verified cloud pricing, deployment tradeoffs, practical use cases, pros, and cons.

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Starting Price

Free
Full ReviewVisit Site

Feature Comparison

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FeatureLangflowDify
CategoryVisual AI agent builderLLM application platform
Pricing Plans2 listed plans4 listed plans
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

  • ✓Open-source visual canvas supports inspection and self-hosted experimentation
  • ✓Python extensibility lets developers move beyond stock components
  • ✓MCP client and server capabilities fit modern agent-tool architectures

Cons

  • ✗Visual building does not remove the need for evaluation and production engineering
  • ✗Model, vector database, and hosting charges sit outside the free software price
  • ✗Large graphs require disciplined testing, version control, and observability

Dify - Pros & Cons

Pros

  • ✓Combines workflow, knowledge, testing, and deployment
  • ✓Open-source edition enables self-hosting
  • ✓Multiple providers reduce model lock-in
  • ✓Visual graphs aid cross-functional collaboration

Cons

  • ✗Self-hosting shifts upgrades, security, backups, and scaling to customers
  • ✗Message credits do not include every model or infrastructure cost
  • ✗Large visual graphs become hard to review
  • ✗RAG still requires retrieval evaluation and data governance

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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