FlowAI — Design skill for Claude Code
Visual drag-and-drop platform for building, executing, and deploying LangGraph agentic workflows.
How to install FlowAI
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open aiudalabs/flowAI and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What FlowAI does
Visual drag-and-drop platform for building, executing, and deploying LangGraph agentic workflows.
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README
FlowAI - Visual Agentic Workflow Builder
Build, execute, and deploy LangGraph agentic workflows through a visual drag-and-drop interface.
Features
- 🎨 Visual Workflow Builder - Drag-and-drop interface powered by ReactFlow
- 🤖 Multi-LLM Support - OpenAI, Anthropic, Google Gemini
- 🔧 Extensible Nodes - LLMs, Tools, APIs, MCPs, Control Flow
- ⚡ Real-time Execution - Watch your workflows run with live visualization
- 🚀 Deploy Anywhere - Export to Docker, Cloud Run, Lambda
- 💾 State Management - Built on LangGraph with checkpointing and memory
Visual Overview

Quick Start
Prerequisites
- Node.js 18+ and npm/yarn
- Python 3.11+
- Docker and Docker Compose
- PostgreSQL 15+
- Redis 7+
Development Setup
- Set up environment variables:
# Backend (.env in backend/ directory)
cp backend/.env.example backend/.env
# Edit backend/.env and add your API keys:
# OPENAI_API_KEY=your-key-here
# DATABASE_URL=postgresql://flowai:flowai@localhost:5432/flowai
# REDIS_URL=redis://localhost:6379/0
- Clone and install dependencies:
# Install frontend dependencies
cd frontend
npm install
# Install backend dependencies
cd ../backend
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
- Start infrastructure (PostgreSQL + Redis):
docker-compose up -d
- Run database migrations:
cd backend
alembic upgrade head
- Start development servers:
# Terminal 1 - Frontend
cd frontend
npm run dev
# Terminal 2 - Backend
cd backend
uvicorn app.main:app --reload
- Open your browser:
- Frontend: http://localhost:3000
- Backend API: http://localhost:8000
- API Docs: http://localhost:8000/docs
Project Structure
flowAI/
├── frontend/ # React + TypeScript + ReactFlow
│ ├── src/
│ │ ├── components/ # React components
│ │ ├── feat
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