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Flowise

Open-source, low-code visual builder for LLM apps and AI agents — drag-and-drop to assemble chains, agents, and RAG; self-host or use Flowise Cloud.

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Updated Jun 24, 2026
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Flowise is an open-source, low-code platform for building LLM apps and AI agents on a drag-and-drop canvas. You wire nodes into chains, agents, and RAG flows, then self-host the Apache-2.0 core or run Flowise Cloud. Built flows expose an API and embed widget, so prototypes ship as real product surfaces.

Flowise is a low-code, visual builder for LLM apps and AI agents. Instead of hand-writing orchestration, you drag nodes onto a canvas and connect them into chains, agentic systems, and retrieval-augmented (RAG) flows — its homepage positions it plainly as "Build AI Agents, Visually," an open-source agentic-systems development platform.

It targets developers and technically-minded builders who want to prototype and ship LLM features fast without wiring every model call, memory store, and tool by hand. Run it locally with one npm command, self-host the Apache-2.0 core on your own infrastructure, or use the managed Flowise Cloud. Because every flow is exposed as an API and an embeddable widget, Flowise fits an AI-assisted workflow as the visual layer between a model provider and a real product surface.

Highlights

  • Drag-and-drop flow builder — assemble logic visually on a canvas, inspect each node's input/output, and iterate without redeploying code.
  • Agents, RAG, and chains as nodes — build multi-agent systems, retrieval pipelines over your documents, and tool-using chains from composable building blocks.
  • Self-hostable with an API — own the deployment, then call any flow over its REST API or drop in the embed widget to put it in an app.
  • Large integration ecosystem — connect many model providers, vector stores, document loaders, and tools, so flows reach real data and services.

In an AI-assisted workflow

Flowise sits between your model provider and your product: build a flow visually, test it on the canvas, then call its endpoint from your app. Spin it up locally in seconds:

npx flowise start
# open http://localhost:3000

For where this slots against automation-first and app-first tools, see n8n vs. Dify.

TIP

Prototype the flow in the visual editor, then promote it by calling its generated API from your codebase — the canvas stays the source of truth while your app just consumes the endpoint.

Good to know

License matters here. The Community Edition is Apache-2.0 — permissive enough to self-host, modify, and use commercially, including running it as a service. A separate Enterprise Edition ships inside the repo's /enterprise directory under a commercial license and stays inactive without a license key, so confirm which edition you're deploying before building a SaaS on it. Flowise Cloud is the paid managed path (a free tier plus paid plans starting around $35/month — verify current pricing on the official site). For how it stacks up against other visual builders, see Best AI App Builders (2026).

Frequently asked questions

What is Flowise?
Flowise is an open-source, low-code visual builder for LLM apps and AI agents. You assemble chains, agentic systems, and RAG pipelines by dragging and connecting nodes on a canvas instead of writing orchestration code, then run the result locally, self-hosted, or on Flowise Cloud. Every flow exposes an API and an embeddable chat widget.
Is Flowise free, and what's the license?
The Community Edition is free and open source under Apache-2.0 — you can self-host, modify, and use it commercially. A separate Enterprise Edition lives in the repo's /enterprise directory and is governed by a commercial license, staying inactive without a license key. Flowise Cloud is a paid managed option (a free tier plus paid plans starting around $35/month — confirm current pricing on the official site).
How does Flowise compare to Dify?
Both are visual LLM-app platforms. Flowise's core is cleanly Apache-2.0 (only the enterprise add-ons are commercial), which makes single-tenant and SaaS self-hosting straightforward. Dify ships a broader product surface (built-in RAG pipeline, prompt IDE, LLMOps) under a modified Apache-2.0 that restricts multi-tenant operation. Pick Flowise for a permissively licensed agent/flow builder; pick Dify for a heavier all-in-one app platform.

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