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automation

FlowGram: Faster AI Workflow

Build AI workflow platforms simpler and faster with FlowGram, used by devs with 8.1k+ GitHub stars, ideal for automation and AI-focused founders
intermediate⏱ 30 minutes💵 Free + open-source
8,204 stars740 forksTypeScriptQuality 9/10Updated 7/7/2026100% free · open source
What it is

With FlowGram, you build AI workflow platforms faster by creating visual diagrams of your data flow.

What you can make with it

Automations like: when a new customer buys a product on Shopify, send a notification to Slack and update the sales data in Excel.

How it helps

FlowGram helps you work more efficiently by visualizing your complex workflows, making it easier to build, test, and maintain your AI solutions.

Real use case example

"A founder who wants to automate tasks for their e-commerce business could use FlowGram to create a visual workflow: they'd start by creating a canvas in FlowGram, then add a 'Shopify order' trigger, followed by an 'update Excel sales data' action and a 'send notification to Slack' action. The workflow would be live and functional in just a few hours."

If you're new

Beginners should pick up FlowGram after having some basic programming knowledge and a grasp of data flows.

If you're senior

Senior engineers and professionals would reach for FlowGram when needing to build, test, or optimize complex AI workflows.

Common confusion cleared up

The most common confusion about FlowGram is that it's just a visual builder, but it's actually a full-fledged workflow development framework with built-in materials and features.

Best inside these AI tools
Claude DesktopCursor
Pairs with
Stripe webhookNotion databaseShopify order
Why we list it on WorkflowStacks: FlowGram is open-source and widely adopted in the developer community, making it a great choice for building AI workflows.
What it does

FlowGram is a framework that helps developers build AI workflow platforms faster and simpler by providing an extensible workflow development framework with built-in canvas, form, variable, and materials.

Install / run
git clone https://github.com/bytedance/flowgram.ai.git
When to use it
  • •You need to automate complex workflows involving AI models and tasks
  • •You're building an AI-focused application and need a flexible workflow framework
  • •You want to simplify and speed up the development of your AI workflow platform
Quick start
  1. 1Run npm install in the cloned repository to set up the project
  2. 2Use the command npm run start to start the development server
  3. 3Open the canvas by navigating to http://localhost:8000 in your browser
  4. 4Create a new workflow by clicking the '+' button on the canvas and selecting a node type
  5. 5Configure the node properties by filling out the form that appears when you click on a node
Ready-to-paste prompt
npm run start && npm run build:example to build and run the example workflow
Heads up: Make sure you have Node.js (14 or higher) and npm installed on your system before attempting to clone and run FlowGram, as it's a TypeScript-based framework
Saves to your device

Topics

ai
automation
coze
data-flow
diagram
flow
flowchart
graph
integration-framework
javascript
no-code
node-based-ui
react
typescript
typescript-library
visualization
workflow
workflow-automation
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

18
top-level files
8
folders
66.2M
repo size
MIT
license
Key files
AGENTS.md
README_DE.md
README_ES.md
README_JA.md
README_PT.md
README_RU.md
File tree
.claude/
.github/
.vscode/
apps/
common/
config/
e2e/
packages/
.gitattributes
.gitignore
AGENTS.md
CHANGELOG.md
CLAUDE.md
CNAME
CONTRIBUTING.md
cspell.json
doc_build.sh
LICENSE
README_DE.md
README_ES.md
README_JA.md
README_PT.md
README_RU.md
README_ZH.md
Quick Actions
Details
Creator
bytedance
Language
TypeScript
Category
automation
Published
2/17/2025

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