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← Back to Flowise Overview

Flowise Pricing & Plans 2026

Complete pricing guide for Flowise. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try Flowise Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Flowise is worth it →

🆓Free Tier Available
💎2 Paid Plans
⚡No Setup Fees

Choose Your Plan

Open Source (Self-Hosted)

Free

mo

  • ✓Full access to Agentflow and Chatflow builders
  • ✓100+ LLM, embedding, and vector DB integrations
  • ✓REST API and embedded chat widget
  • ✓TypeScript and Python SDKs
  • ✓Community support via GitHub and Discord
  • ✓Self-hosted via npm, Docker, or one-click cloud deploy
Start Free →

Cloud

Contact for pricing

mo

  • ✓Managed cloud hosting (no DevOps required)
  • ✓Automatic updates and backups
  • ✓Built-in authentication and team management
  • ✓Email and chat support
  • ✓Usage-based scaling
Start Free Trial →
Most Popular

Enterprise

Custom

mo

  • ✓On-premises and cloud deployment options
  • ✓Horizontal scaling with message queues and workers
  • ✓Dedicated support and SLA
  • ✓Advanced security and compliance features
  • ✓Custom integrations and use-case consulting
  • ✓SSO and role-based access control
Start Free Trial →

Pricing sourced from Flowise · Last verified March 2026

Feature Comparison

FeaturesOpen Source (Self-Hosted)CloudEnterprise
Full access to Agentflow and Chatflow builders✓✓✓
100+ LLM, embedding, and vector DB integrations✓✓✓
REST API and embedded chat widget✓✓✓
TypeScript and Python SDKs✓✓✓
Community support via GitHub and Discord✓✓✓
Self-hosted via npm, Docker, or one-click cloud deploy✓✓✓
Managed cloud hosting (no DevOps required)—✓✓
Automatic updates and backups—✓✓
Built-in authentication and team management—✓✓
Email and chat support—✓✓
Usage-based scaling—✓✓
On-premises and cloud deployment options——✓
Horizontal scaling with message queues and workers——✓
Dedicated support and SLA——✓
Advanced security and compliance features——✓
Custom integrations and use-case consulting——✓
SSO and role-based access control——✓

Is Flowise Worth It?

✅ Why Choose Flowise

  • • Visual builder backed by real LangChain/LlamaIndex code — full framework power without writing boilerplate, with 35,000+ GitHub stars validating community trust
  • • Comprehensive component library covering 100+ LLMs, embeddings, and vector databases including OpenAI, Anthropic, Google, Ollama, Pinecone, Weaviate, Qdrant, ChromaDB, and Supabase
  • • One-click API deployment with built-in chat widget for website embedding plus TypeScript and Python SDKs — fast path from prototype to deployment
  • • Open-source and self-hostable with simple Node.js deployment via npm install -g flowise, Docker, or one-click cloud platforms like Railway, Render, and Replit
  • • Enterprise-ready with horizontal scaling via message queues and workers, on-prem and cloud deployment options, plus full execution traces supporting Prometheus and OpenTelemetry
  • • Active community marketplace with pre-built chatflows for common use cases (RAG, agents, customer support) and Human-in-the-Loop (HITL) workflow support

⚠️ Consider This

  • • Requires understanding LangChain/LlamaIndex concepts — the visual interface doesn't abstract away framework complexity
  • • Complex workflows with many conditional branches become visually cluttered and hard to manage on the canvas
  • • Debugging node connection issues can be frustrating — error messages from the underlying framework are passed through without simplification
  • • Custom component development requires TypeScript knowledge and understanding of Flowise's component architecture
  • • Cannot export chatflows as standalone Python/TypeScript code — applications remain coupled to the Flowise runtime

What Users Say About Flowise

👍 What Users Love

  • ✓Visual builder backed by real LangChain/LlamaIndex code — full framework power without writing boilerplate, with 35,000+ GitHub stars validating community trust
  • ✓Comprehensive component library covering 100+ LLMs, embeddings, and vector databases including OpenAI, Anthropic, Google, Ollama, Pinecone, Weaviate, Qdrant, ChromaDB, and Supabase
  • ✓One-click API deployment with built-in chat widget for website embedding plus TypeScript and Python SDKs — fast path from prototype to deployment
  • ✓Open-source and self-hostable with simple Node.js deployment via npm install -g flowise, Docker, or one-click cloud platforms like Railway, Render, and Replit
  • ✓Enterprise-ready with horizontal scaling via message queues and workers, on-prem and cloud deployment options, plus full execution traces supporting Prometheus and OpenTelemetry
  • ✓Active community marketplace with pre-built chatflows for common use cases (RAG, agents, customer support) and Human-in-the-Loop (HITL) workflow support

👎 Common Concerns

  • ⚠Requires understanding LangChain/LlamaIndex concepts — the visual interface doesn't abstract away framework complexity
  • ⚠Complex workflows with many conditional branches become visually cluttered and hard to manage on the canvas
  • ⚠Debugging node connection issues can be frustrating — error messages from the underlying framework are passed through without simplification
  • ⚠Custom component development requires TypeScript knowledge and understanding of Flowise's component architecture
  • ⚠Cannot export chatflows as standalone Python/TypeScript code — applications remain coupled to the Flowise runtime

Pricing FAQ

Do I need to know LangChain to use Flowise?

It helps significantly. Flowise visualizes LangChain/LlamaIndex components — understanding what a retriever, chain, or agent does makes the visual builder much more effective. You can start with simple chatflows using pre-built templates, but deeper customization benefits from framework knowledge.

How does Flowise compare to Langflow?

Both are visual LangChain builders, but they target different ecosystems. Flowise is Node.js-based, while Langflow is Python-based — important for deployment preferences and team skill sets.

Can I export Flowise chatflows as code?

Flowise doesn't directly export chatflows as standalone Python/TypeScript code. Chatflows are stored as JSON configurations that Flowise interprets at runtime via its Node.js engine. If you need standalone code, use the chatflow design as a reference to implement equivalent logic directly with LangChain.

What's the best way to deploy Flowise in production?

Docker deployment on a cloud VM or container platform (AWS ECS, Google Cloud Run, Kubernetes) is the most common production approach. Use PostgreSQL for persistent storage of chatflow configurations and conversation history.

Is Flowise free to use, and what does the enterprise version offer?

Yes, Flowise is fully open-source and free to self-host via npm or Docker — install it with a single command (npm install -g flowise) and run npx flowise start. The enterprise tier adds managed hosting, SSO, advanced security, and dedicated support.

Ready to Get Started?

AI builders and operators use Flowise to streamline their workflow.

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More about Flowise

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