FlowGram｜Workflow development framework
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FlowGram is a composable, visual, easy-to-integrate, and extensible workflow development framework & toolkit.
Our goal is to help developers build AI workflow platforms faster and simpler.
FlowGram comes with a suite of built-in tools for workflow development: flow canvas, node configuration form, variable scope chain, and ready-to-use materials (LLM, Condition, Code Editor etc). The framework packages provide the building blocks for your own workflow platform; FlowGram Desktop brings them together in a native Agent workspace.
Learn more at FlowGram.AI 🌐
🖥️ FlowGram Desktop
FlowGram Desktop is a native Agent workspace for macOS and Windows. Build, run, debug, and reuse workflows through conversation and a visual canvas.
- Build: describe a task in chat, then refine nodes, conditions, parallel branches, joins, and loops on the canvas.
- Debug: test individual nodes, inspect inputs and outputs, and revisit execution paths and historical workflow snapshots.
- Reuse: publish versioned workflows for HTTP and MCP consumers, or call them from other workflows.
- Organize: manage project-based workflows and chats, import and export projects, and work in English or Simplified Chinese with light and dark themes. Six industry example projects help you get started.
https://github.com/user-attachments/assets/48c0e187-5bd8-40b2-9a96-60d3839db170
Download Desktop
macOS — install with one command (Apple Silicon and Intel):
curl --fail --silent --show-error https://flowgram.ai/desktop/install.sh | sh
Paste into Terminal to download the latest preview, verify its SHA-256 checksum, and install FlowGram. The script removes quarantine only from the installed app so the unsigned preview can open. No sudo is required. Run the same command to update; quit FlowGram first.
⬇ Latest preview release
Choose your platform to download the latest preview. These permanent links are updated automatically after all three platform builds succeed.
Download the installer directly; no GitHub sign-in is required. Open the .dmg on macOS or run the setup .exe on Windows. Checksums and build information are available on the release page. Preview installers are unsigned; macOS builds are not notarized.
🎬 Demo
https://github.com/user-attachments/assets/fee87890-ceec-4c07-b659-08afc4dedc26
Open in CodeSandbox 🌐 or StackBlitz 🌐
In this demo, we iterate through a list of cities, fetch real-time weather via HTTP, parse temperatures with a Code node, generate outfit suggestions with an LLM, gate by a Condition, aggregate results across the loop, and finally use an Advisor LLM to pick the most comfortable city before sending the result to the End node.
🚀 Quick Start
- Create a new FlowGram project:
npx @flowgram.ai/create-app@latest
We recommend choosing the Free Layout Demo ⭐️ template.
- Start the project:
cd demo-free-layout
npm install
npm start
- Open http://localhost:3000 in your browser.
✨ Features
| Feature |
Description |
Demo |
| Free Layout Canvas |
Free layout canvas where nodes can be placed anywhere and connected using free-form lines. |
 |
| Fixed Layout Canvas |
Fixed layout canvas where nodes can be dragged to specified positions, with support for compound nodes like branches and loops. |
 |
| Form |
The form engine manages the CRUD operations of node data and provides rendering, validation, side effects, linkage, and error-capturing capabilities, simplifying the development of node configurations. |
 |
| Variable |
The variable engine supports scope constraints, variable structure inspection, and type inference, making it easy to manage data flow within the workflow. |
 |
📖 Documentation
You can find the FlowGram documentation on the website.
The documentation is divided into several sections:
🙌 Contributors
🌍 Adoption
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- NNDeploy is a workflow-based multi-platform ai deployment tool.
- Certimate is an open-source SSL certificate management tool that helps you automatically apply for and deploy SSL certificates with a visual workflow. It is one of the ACME client options listed in the official documentation of Let’s Encrypt.
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