Flowise vs Langflow: Features, Pricing and User Reviews 2026
What are Flowise and Langflow?
Flowise is a visual development platform for creating AI-powered applications using large language models. Think of it as building blocks for AI: you drag components onto a canvas and connect them together to create smart systems.
The platform lets you build chatbots that understand documents, create AI agents that can perform tasks automatically, and set up workflows that combine multiple AI tools. It supports retrieval-augmented generation, which means your AI can pull information from your own documents and databases to give accurate answers.
You can start with ready-made templates or build custom solutions from scratch. Flowise works with both cloud-based and locally-hosted AI models, giving you flexibility in how you deploy your applications. The platform is open-source, meaning the community constantly adds new features and improvements.
Langflow is an open-source platform for building AI applications through a visual interface. You create workflows by connecting building blocks called components. Each component performs a specific task, such as loading data, talking to an AI model, or storing information in a database.
The platform supports agents that can make decisions, use tools, and perform multiple tasks automatically. It also enables Retrieval Augmented Generation (RAG), which lets AI applications search through your documents and provide accurate answers based on your specific data.
There is no cost to use Langflow. It's completely free and open-source. You only pay for external services you connect to it, such as AI model providers like OpenAI or cloud hosting if you choose to deploy your application online.
Features of Flowise and Langflow
Drag-and-drop visual interface for building AI apps
Multi-agent orchestration with shared workflows
Chatbot creation with document retrieval support
100+ integrations with LLMs and databases
Human approval workflows for quality control
Custom chatbot embedding for websites
Open-source with self-hosting option
Cloud deployment or local installation
Real-time testing and debugging
Template library for quick starts
Visual drag-and-drop workflow builder
Support for multi-agent AI systems
RAG (Retrieval Augmented Generation) capabilities
Compatible with all major AI models
Custom component creation with Python
Automatic API generation for workflows
Real-time testing and debugging tools
Integration with vector databases
Pre-built templates and examples
Open-source and completely free
Desktop and web-based versions
Use Cases of Flowise and Langflow
Pricing of Flowise and Langflow
Flowise offers flexible pricing to suit different needs. The platform is available in both self-hosted and cloud versions.
The Free plan includes 2 flows and assistants, 100 predictions per month, and 5MB storage. This is perfect for testing and small personal projects. You get access to evaluations, metrics, and custom chatbot branding with community support.
The Starter plan costs $35 per month and includes everything in Free, plus unlimited flows and assistants, 10,000 predictions monthly, and 1GB storage. Your first month is free, making it easy to try without commitment.
The Pro plan at $65 per month is designed for growing businesses. You get 50,000 predictions monthly, 10GB storage, unlimited workspaces, support for 5 users (additional users cost $15 each), admin roles and permissions, and priority support for faster help when needed.
Langflow is completely free to use because it is open-source software. You can download it and run it on your own computer without any cost. There are no subscription fees, usage limits, or hidden charges for the software itself.
However, building AI applications requires some external services that do have costs. You'll need API keys from AI providers like OpenAI, which charges based on how much you use their models. If you connect to vector databases like Pinecone for storing information, those services have their own pricing. Most offer free tiers to get started.
For hosting, you can run Langflow on your own computer for free, or deploy it to cloud services like AWS or Google Cloud, which charge based on server usage. Many cloud providers offer free tiers or credits for new users. You have complete control over which services you use and how much you spend.
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