FlowiseAI/Flowise
Build AI Agents, Visually
Flowise is a low-code visual builder for AI agents and LLM workflows, built on LangChain in TypeScript. You drag and drop nodes to assemble chatbots, RAG pipelines, and agent flows, then deploy them as an API or chat widget. Its core is Apache 2.0 with a separate commercial enterprise tier.
Our Review
With more than 53,000 GitHub stars and over 24,000 forks, Flowise is one of the most-forked AI projects on GitHub, a sign of how many teams self-host and customize it. FlowiseAI ships updates almost daily (v3.1.2 in April 2026) and pairs the visual builder with a hosted cloud option.
What Flowise does:
- •Visual agent builder drag and drop nodes on a canvas to assemble chatbots, RAG pipelines, and multi-agent workflows without writing glue code.
- •Built on LangChain exposes LangChain and LlamaIndex components as visual nodes, so the library of integrations is large.
- •AgentFlow a dedicated mode for building multi-agent systems with tools, memory, and conditional routing.
- •Deploy as API or widget publish any flow as a REST API, an embeddable chat widget, or through an SDK for your own app.
- •100+ integrations connectors for major LLMs, vector databases, document loaders, and tools.
- •Self-host or cloud run it locally with Docker and npm, or use the managed Flowise Cloud.
Flowise ecosystem:
- •Flowise Cloud a hosted version for teams that prefer not to self-host.
- •Marketplace templates prebuilt flows you can clone as starting points.
- •Embeddable widgets and SDKs drop a chatbot into any site or app.
Getting started:
Run npx flowise start and open localhost:3000, or use the Docker image, then build a flow on the canvas and hit deploy. Configure LLM and vector-database credentials in the node settings. Full docs are at docs.flowiseai.com.
Limitations:
Flowise is not fully open-source: its core is Apache 2.0, but enterprise features live under a separate commercial license, so check the terms before building a paid product on it. It is a Node.js application you self-host, so you own the runtime, scaling, and upgrades. The fast release pace and 800+ open issues mean occasional breaking changes, and very complex flows can become hard to manage visually, where code is clearer.
Our Verdict
Flowise is the most-forked visual AI builder in 2026, and its LangChain foundation plus the AgentFlow mode make it a fast way to ship chatbots and agents without starting from a bare framework.
For Vibe Builders, the drag-and-drop canvas and embeddable chat widget mean you can build and ship a working assistant without writing integration code, and Flowise Cloud removes the hosting step entirely. The template marketplace gives you working starting points.
For Developers, Flowise is a quick way to prototype LangChain pipelines visually before committing them to code, and the API and SDK let you wire flows into a larger app. The 100+ integrations cover most LLMs and vector stores you would reach for.
Skip it if you need a fully permissive open-source license for a commercial product, since the enterprise tier is commercial, or if your use case is a few API calls that a short script handles. For a pure-MIT visual alternative, Langflow is worth comparing.
Frequently Asked Questions
Is Flowise free and open-source?
Flowise is free to self-host and its core is licensed under Apache 2.0, but it is not fully open-source: some enterprise features are under a separate commercial license. It has more than 53,000 GitHub stars as of 2026. You can run the core at no cost, paying only for any LLM and infrastructure that you use.
What can you build with Flowise?
Flowise lets you build AI chatbots, retrieval-augmented generation pipelines, and multi-agent workflows by dragging and dropping nodes on a visual canvas. Every flow can be deployed as a REST API, an embeddable chat widget, or through an SDK. It includes more than 100 integrations for LLMs, vector databases, and tools.
What is the difference between Flowise and Langflow?
Flowise is built in TypeScript on LangChain, while Langflow is built in Python. Both are visual builders for AI agents and workflows. Choose Flowise if you prefer the Node.js ecosystem and embeddable chat widgets, and weigh its open-core license. Choose Langflow for a Python stack and a fully permissive MIT license.
Can I deploy Flowise to production?
Yes, you can self-host Flowise with Docker or npm and deploy any flow as a REST API, a chat widget, or via an SDK, and Flowise Cloud offers a managed option. Because the self-hosted version is yours to run, you handle scaling, security, and upgrades. Review the open-core license before building a commercial product.
Who makes Flowise?
Flowise is developed by FlowiseAI, Inc., the company behind both the open-core framework and the hosted Flowise Cloud product. The project launched in 2023 and has grown into one of the most-forked AI repositories on GitHub, with a large community of contributors and self-hosters and frequent releases.
What is Flowise?
Flowise is a low-code visual builder for AI agents and LLM workflows, built on LangChain in TypeScript. You drag and drop nodes to assemble chatbots, RAG pipelines, and agent flows, then deploy them as an API or chat widget. Its core is Apache 2.0 with a separate commercial enterprise tier.
How do I install Flowise?
Visit the GitHub repository at https://github.com/FlowiseAI/Flowise for installation instructions.
What license does Flowise use?
Flowise uses the Apache-2.0 license.
What are alternatives to Flowise?
Explore related tools and alternatives on My AI Guide.
Open source & community-verified
Apache-2.0 licensed: free to use in any project, no strings attached. 53,384 developers have starred this, meaning the community has reviewed and trusted it.
Reviewed by My AI Guide for relevance, quality, and active maintenance before listing.
Topics