Langflow vs n8n

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

n8n

🟡Low Code

AI workflow automation

n8n review covering visual automation, AI workflows, self-hosting, verified execution pricing, advantages, drawbacks, and practical integration use cases.

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Starting Price

Free

Feature Comparison

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FeatureLangflown8n
CategoryVisual AI agent builderAI workflow automation
Pricing Plans2 listed plans5 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
  • • Visual AI-agent canvas with traceable steps
  • • 500+ integrations and 10,000 workflow templates
  • • JavaScript, Python, HTTP, webhook, API, and CLI escape hatches

💡 Our Take

Choose Langflow if you're building AI-specific workflows — RAG pipelines, multi-agent systems, or MCP servers — and want Python-native components with LLM-focused nodes. Choose n8n if you need general-purpose automation across 400+ SaaS integrations (CRM, email, databases) where AI is one node among many, rather than the core of the workflow.

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

n8n - Pros & Cons

Pros

  • ✓Combines a visual builder with JavaScript and Python steps
  • ✓Offers managed cloud and self-hosting
  • ✓Bills cloud plans by complete workflow executions
  • ✓Supports agents, retrieval, webhooks, and conventional automation

Cons

  • ✗Complex workflows require debugging and ownership
  • ✗Execution, concurrency, and retention limits vary
  • ✗Self-hosting transfers upgrades and security to the customer
  • ✗Credential-rich automations can create broad blast radius

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🔒 Security & Compliance Comparison

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Security FeatureLangflown8n
SOC2——
GDPR——
HIPAA——
SSO—✅ Yes
Self-Hosted✅ Yes🔀 Hybrid
On-Prem✅ Yes✅ Yes
RBAC—✅ Yes
Audit Log—✅ Yes
Open Source✅ Yes❌ No
API Key Auth✅ Yes✅ Yes
Encryption at Rest—✅ Yes
Encryption in Transit—✅ Yes
Data Residency—EU
Data Retentionconfigurableconfigurable
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