Flowise Project Structure

The visual tool for building custom LLM flows. Flowise is built on a robust monorepo architecture that separates its core orchestration server, its visual drag-and-drop UI, and its extensive library of AI components.

Updated 2025-12-30

#flowise #llm #ai #langchain #react #nodejs #monorepo #open-source

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Project Directory

Flowise/

packages/

Internal monorepo packages

server/

Node.js API server

src/

Backend source

package.json

ui/

React visual builder UI

src/

Frontend source

components/

Core AI node logic & integrations

nodes/

Individual AI component definitions

docker/

Deployment configurations

package.json

Root workspace

turbo.json

Repository Info

Repository-FlowiseAI/Flowise
Stars-25k+
License-Apache-2.0
Last Analyzed-December 2025

Tech Stack

Backend-Node.js (Express)
Frontend-React
AI Orchestration-LangChain
Language-TypeScript
Monorepo Tool-Turborepo + pnpm

Architecture Notes

Flowise is a prime example of a 'Component-Based' AI platform. Its architecture is centered around the components/ package, which defines how different LLM elements (chains, tools, memory) are structured and interact. The server/ package acts as the engine that executes these visual flows, while the ui/ package provides the interactive canvas. This modularity allows the community to rapidly add new AI integrations without modifying the core server logic.

Key Directories

packages/server/-Responsible for managing project persistence and flow execution
packages/ui/-A complex React-based drag-and-drop interface for building AI workflows
packages/components/-The library of AI nodes that serve as the building blocks for all flows

Why This Structure?

Flowise is an essential reference for developers building LLM-based applications. It shows how to translate complex AI concepts into a user-friendly visual interface and how to manage a rapidly growing ecosystem of integrations using a clean, package-based monorepo structure.

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