Flowise

Reviews, features, alternatives & more

Build AI agents without the usual complexity. Flowise gives you a visual way to create workflows, chatbots, and multi-agent systems fast. Open source, flexible, and ready to scale as your ideas grow!

Back to the Directory

Improve this review

Infomation not accurate or outdated? let us know!

Last Updated On June 28, 2026

Feedback From Matt

✅ USE CASES

Creating AI applications does not have to be difficult. Flowise makes the process visual, fast, and easy with a drag-and-drop interface for building AI agents, chatbots, and automated workflows. It supports multi-agent systems, knowledge retrieval, API integration, and human review when needed. Developers can also use SDKs and APIs to connect AI features with existing apps. As an open source platform, it works with hundreds of LLMs, vector databases, and cloud or on-premises deployments. Whether you are testing an idea or launching a production-ready solution, it provides the flexibility to build and scale with confidence.

💡 Notable Features

What sets Flowise apart?

🎨 Visual AI Builder

Flowise lets you create AI agents and workflows with an easy drag and drop interface. You can connect different components without writing large amounts of code. It is a great way to test ideas quickly and improve them as your project grows.

🤖 Multi Agent Workflows

The platform supports multiple AI agents working together on complex tasks. Each agent can handle a different job while staying connected through one workflow. This makes it easier to build smarter automation for business processes, customer support, and research projects.

📚 Knowledge Powered Chatbots

Build chatbots that can answer questions using your own documents and data. Flowise supports retrieval from PDFs, databases, and other sources. This helps create more accurate AI assistants that provide useful answers instead of relying only on general AI knowledge.

🔌 Easy API Integration

Flowise includes APIs, SDKs, and embedded chat options that make integration simple. You can connect your AI applications with websites, internal tools, or existing software. This flexibility makes it suitable for developers and businesses building custom AI solutions.

🚀 Enterprise Ready Scaling

From small experiments to large production systems, Flowise is designed to grow with your needs. It supports cloud and on premises deployment, horizontal scaling, and popular observability tools. This makes it a strong option for teams planning long term AI projects.

⭐ User Reviews

What do people think about Flowise?

📄 Details Table

Flowise info, in a nutshell

Release	2023
Founder	Henry Heng, Chung Yau Ong
Headquarters Location	California, USA
Popularity	5+ million Docker installs,
Employees	2-10 employees
Main Feature	Visual drag and drop builder for AI agents, chatbots, RAG workflows, and multi-agent systems.
Best For	Developers, AI engineers, Startups, Enterprises, Business owners etc.
Pricing	Freemium and from $35/mo
Support	Email (support@flowiseai.com)
API For Developers	Yes
Social Media

❓ Frequently Asked Questions

Flowise related questions, answered

🤖 What is Flowise mainly used for?

✅ Is Flowise safe and legit?

💻 Do I need coding skills to use it?

🔗 Can Flowise connect with other AI models and tools?

📈 Can Flowise handle large production projects?

💰 Is there a free plan available?

🎁 Free Trial & Coupon

Why pay Flowise full price, if you can get some for free?

Free Trial Information

Free Plan	✅
Free Trial	❌

Oh no! That's a bummer :(

At this moment, Flowise is not offering any promotion or discount code. However, we may help you out. Subscribe to the form below and, if they will release a promo code, you will be the first one to know. 😉

👨‍🎓 Expert's Opinion

what does our expert say about Flowise?

Flowise stands out because it makes building AI applications much more practical without hiding advanced features. The visual workflow builder is smooth, and creating chatbots or AI agents takes far less time than coding everything from scratch. It is also flexible enough for developers who want deeper control through APIs and integrations. The biggest drawback is that some advanced workflows still require AI knowledge, so complete beginners may need time to understand concepts like RAG or multi-agent systems. Even so, once you get familiar with the platform, it becomes a reliable choice for both experiments and production-ready AI projects.