automation

Flowise – Visual AI Agents for Fast‑Track Automation

Name: Flowise – Visual AI Agents for Fast‑Track Automation
Author: FlowiseAI

Create and deploy multi‑agent AI workflows without writing code. Ideal for founders who need rapid, low‑code AI integration to boost productivity.

55,491 stars+6★ this week25,059 forksTypeScriptGuide quality 9/10 · reviewed Oct 8Updated 8/13/2026100% free · open source

What it does

Flowise allows startup founders to build AI agents visually, enabling automation of complex workflows and decision-making processes without requiring extensive coding knowledge.

When to use it

•When automating repetitive business processes that involve AI-driven decision-making
•When integrating multiple AI models and services into a single workflow
•When prototyping and testing AI-powered automation workflows without extensive development resources

Ready-to-paste prompt

Create an agent that uses a natural language processing model to classify incoming customer support tickets and route them to the appropriate support team using the `flowise run --agent my_support_agent` command

Heads up: Make sure you have Node.js version 16 or higher installed, as Flowise is built using TypeScript and requires a compatible Node.js runtime to function correctly

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/flowise && curl -fsSL https://workflowstacks.com/api/skills/flowise/claude-skill -o ~/.claude/skills/flowise/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Flowise – Visual AI Agents for Fast‑Track Automation works

Codeflow

Free to inspect

Flowise – Visual AI Agents for Fast‑Track Automation is a very large TypeScript project (~334k lines across 1858 code files, plus 2 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.

Size

Very large codebase

~334k lines · 1858 code files · days to read — use, don't read

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Node.js · Docker

No API keys detected

TypeScript 62%JavaScript 27%HTML 6%Handlebars 5%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
package.json
Dependencies and the commands it exposes

What's in each folder

packages/components/Frontend / UI856 files

packages/server/Backend / API701 files

packages/ui/Frontend / UI472 files

packages/agentflow/Package252 files

packages/observe/Package95 files

docker/Deployment / infrastructure12 files

packages/api-documentation/Package8 files

i18n/Translations6 files

READMEHas testsDocumentedCI checksDocker readyOther licenseUpdated this monthArchived — read only

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/flowise && curl -fsSL https://workflowstacks.com/api/skills/flowise/claude-skill -o ~/.claude/skills/flowise/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

FlowiseAI

Language

TypeScript

Do this with a working workflow

Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.

Outcome guide

Score your leads by ideal-customer fit

You describe your ideal customer once and keep leads in a Google Sheet. The workflow scores each 1–5 for fit with a one-line reason, so you sort and work the best first.