# FlowDrop

> A drop-in visual workflow editor for AI agents. Design, configure, and deploy AI workflows with any backend.

FlowDrop is an open-source, MIT-licensed TypeScript library that lets you mount a full-featured visual workflow editor anywhere with a single function call. It is backend-agnostic and works with Express, Fastify, Django, Rails, Laravel, or any backend that can serve REST endpoints. Workflows live in your database: no cloud service, no vendor lock-in.

## Key Features

- **Drop-in Editor**: Mount a visual workflow editor with a single function call. No build step, no boilerplate.
- **Backend-agnostic**: Works with any backend that can serve REST endpoints.
- **Human-in-the-Loop**: Pause any workflow mid-run to collect approvals, choices, or form input. Resume automatically once the user responds.
- **TypeScript-first**: Fully typed public API, rich IDE completions, and strict type checking out of the box.
- **You own your data**: Workflows live in your database. FlowDrop never touches your data.
- **Open source**: MIT licensed, actively maintained, and built in the open.

## About

FlowDrop is founded by Shibin Das (D34dMan) and sponsored by Factorial.io.

## Links

- [Website](https://flowdrop.io)
- [Documentation](https://flowdrop.mintlify.app/guides/creating-workflows)
- [Blog](https://flowdrop.io/blog)

## Optional

- [Privacy Policy](https://flowdrop.io/privacy)
- [RSS Feed](https://flowdrop.io/rss.xml)