Langflow vs Flowise

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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Flowise

🟡Low Code

AI app platform

Flowise supports visual flow builder, agent orchestration, api deployment for prototyping assistants and low-code agent workflows.

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Starting Price

Free
Full ReviewVisit Site

Feature Comparison

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FeatureLangflowFlowise
CategoryAgent FrameworkAI app platform
Pricing Plans22 tiers22 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
  • • Visual node-based builder for AI agents and chatflows
  • • Agentflow multi-agent orchestration
  • • Chat assistants with RAG and tool calling

💡 Our Take

Choose Langflow if your team works primarily in Python and wants custom components as standard Python classes, or if you need built-in MCP server generation for Claude Desktop and Cursor integration. Choose Flowise if you prefer Node.js/TypeScript, want a larger library of pre-built templates, or value a more mature community marketplace.

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

Flowise - Pros & Cons

Pros

  • ✓Apache 2.0 self-hosting offers strong control and flexibility
  • ✓Visual editing speeds up prototypes and stakeholder demos
  • ✓Many connectors cover common model and retrieval stacks
  • ✓Each flow can become an API rather than staying a diagram

Cons

  • ✗Complex canvases can become hard to maintain
  • ✗Self-hosters own authentication, upgrades, monitoring, and scaling
  • ✗Breaking changes require version pinning and testing
  • ✗Cloud execution limits can affect chatty or high-volume agents

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🔒 Security & Compliance Comparison

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Security FeatureLangflowFlowise
SOC2——
GDPR——
HIPAA——
SSO——
Self-Hosted✅ Yes✅ Yes
On-Prem✅ Yes✅ Yes
RBAC—✅ Yes
Audit Log——
Open Source✅ Yes✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest——
Encryption in Transit—✅ Yes
Data Residency—self-hosted deployments allow user-controlled data residency
Data Retentionconfigurableconfigurable
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Read the full reviews to make an informed decision

Review LangflowReview Flowise