🚀 AutoFlow AI: The Intelligent Automation Engine

AutoFlow AI is a production-grade, AI-native workflow automation platform. It enables organizations to build, orchestrate, and monitor autonomous agents that seamlessly connect LLMs with over 2,000+ software integrations.

🌟 Key Features

🤖 Autonomous Agent Loops

Self-Recovering Agents: Workflows support autonomous reflection and recovery from tool failures
Multi-LLM Support: Native integration with OpenAI, Anthropic Claude, and Google Vertex AI
Real-time Execution: Live monitoring of workflow runs with detailed telemetry

📊 Performance Command Center

Real-time Telemetry: Track successes, failures, and token usage across your organization
High-Fidelity Charts: Beautiful visualizations of execution metrics and performance data
Audit Trails: Complete audit logging for compliance and debugging

🛡️ Enterprise Security

RBAC: Granular team permissions and roles (Owner, Admin, Member, Viewer)
Secure Key Management: Provision scoped API keys with rotation policies
Tenant Isolation: Strict data partitioning at the database layer
Account Lockout: Automatic protection against brute force attacks

� Modern User Experience

Glass Morphism UI: Beautiful, modern interface with smooth animations
Dark/Light Themes: Full theme support with system detection
Responsive Design: Optimized for desktop, tablet, and mobile devices
Real-time Updates: Live dashboard updates using WebSocket connections

�🏗️ Architecture & Tech Stack

AutoFlow AI is built for high-performance, real-time reactive processing:

Frontend

Next.js 16.2 (App Router) - React framework with SSR/SSG
Tailwind CSS - Utility-first CSS framework
Framer Motion - Production-ready animations
Zustand - Lightweight state management
Shadcn/UI - Beautiful, accessible component library

Backend

Node.js & Express - Runtime and framework
Socket.IO - Real-time bidirectional communication
BullMQ - Distributed job queues
JWT - Secure authentication with refresh tokens

Database & Infrastructure

PostgreSQL - Primary database with Prisma ORM
Redis (Upstash) - Caching, rate limiting, and session storage
Neon - Serverless PostgreSQL hosting

AI Integration

OpenAI - GPT-4, GPT-3.5 models
Anthropic - Claude models
Google Vertex AI - Gemini models

⚡ Quick Start

1. Prerequisites

Node.js v18+
PostgreSQL & Redis instances (or use provided cloud services)

2. Installation

# Clone the repository
git clone https://github.com/abx15/AutoFlow-AI.git
cd AutoFlow-AI

# Install all dependencies
npm install
cd client && npm install
cd ../server && npm install

3. Environment Setup

Create environment files using the provided templates:

Server (server/.env):

PORT=5000
DATABASE_URL="postgresql://..."
REDIS_URL="redis://..."
JWT_ACCESS_SECRET="your-256-bit-secret"
JWT_REFRESH_SECRET="your-256-bit-secret"
ANTHROPIC_API_KEY="sk-ant-api03-..."
OPENAI_API_KEY="sk-..."
SMTP_HOST="smtp.gmail.com"
SMTP_USER="your-email@gmail.com"
SMTP_PASS="your-app-password"

Client (client/.env.local):

NEXT_PUBLIC_API_URL="http://localhost:5000/api/v1"
NEXT_PUBLIC_APP_URL="http://localhost:3000"

4. Database Setup

cd server
npx prisma generate
npx prisma db push
npm run db:seed  # Seed demo data and test users

5. Launch the Application

# Terminal 1: Start Backend
cd server
npm run dev

# Terminal 2: Start Frontend
cd client
npm run dev

6. Access the Application

Frontend: http://localhost:3000
Backend API: http://localhost:5000
API Documentation: http://localhost:5000/docs

� Demo Accounts

The system comes with pre-configured demo accounts for testing:

Account	Email	Password	Plan	Features
Demo	`demo@autoflow.ai`	`Demo@1234`	Pro	Full feature access
Tech Startup	`john@techstartup.com`	`John@1234`	Starter	Limited workflows
Marketing	`sarah@marketing.com`	`Sarah@1234`	Pro	Advanced features
Enterprise	`mike@enterprise.com`	`Mike@1234`	Enterprise	Unlimited access

📚 API Documentation

Authentication Endpoints

Register New User

POST /api/v1/auth/register
Content-Type: application/json

{
  "name": "John Doe",
  "email": "john@example.com",
  "password": "SecurePass123",
  "orgName": "John's Organization"
}

Login

POST /api/v1/auth/login
Content-Type: application/json

{
  "email": "john@example.com",
  "password": "SecurePass123"
}

Refresh Token

POST /api/v1/auth/refresh
Content-Type: application/json

{
  "refreshToken": "eyJhbGciOiJIUzI1NiJ9..."
}

Get Current User

GET /api/v1/auth/me
Authorization: Bearer <access_token>

Workflow Endpoints

Create Workflow

POST /api/v1/workflows
Authorization: Bearer <access_token>
Content-Type: application/json

{
  "name": "Lead Enrichment",
  "description": "Automatically enrich lead data",
  "triggerType": "webhook",
  "steps": [
    {
      "id": "scrape",
      "tool": "scrape_webpage",
      "input": { "url": "{{trigger.website}}" }
    }
  ]
}

Execute Workflow

POST /api/v1/workflows/:id/run
Authorization: Bearer <access_token>
Content-Type: application/json

{
  "data": {
    "website": "https://example.com",
    "email": "lead@example.com"
  }
}

🎯 Usage Examples

Creating a Simple Workflow

const workflow = await fetch('/api/v1/workflows', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${token}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    name: 'Email Automation',
    triggerType: 'webhook',
    steps: [
      {
        id: 'send_email',
        tool: 'send_email',
        input: {
          to: '{{trigger.email}}',
          subject: 'Welcome!',
          body: 'Hello {{trigger.name}}'
        }
      }
    ]
  })
});

Triggering Workflow Execution

const execution = await fetch(`/api/v1/workflows/${workflowId}/run`, {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${token}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    data: {
      email: 'user@example.com',
      name: 'John Doe'
    }
  })
});

🔧 Configuration

Environment Variables

Server Configuration

# Server
NODE_ENV=development
PORT=5000
APP_URL=http://localhost:5000

# Database
DATABASE_URL=postgresql://user:pass@host:port/db
REDIS_URL=redis://user:pass@host:port

# Authentication
JWT_ACCESS_SECRET=256-bit-secret-key
JWT_REFRESH_SECRET=256-bit-secret-key
JWT_ACCESS_EXPIRES=15m
JWT_REFRESH_EXPIRES=7d

# AI Services
ANTHROPIC_API_KEY=sk-ant-api03-...
OPENAI_API_KEY=sk-...
GOOGLE_AI_API_KEY=...

# Email
SMTP_HOST=smtp.gmail.com
SMTP_PORT=587
SMTP_USER=your-email@gmail.com
SMTP_PASS=your-app-password
EMAIL_FROM=noreply@autoflow.ai

Client Configuration

NEXT_PUBLIC_API_URL=http://localhost:5000/api/v1
NEXT_PUBLIC_APP_URL=http://localhost:3000
NEXT_PUBLIC_APP_NAME=AutoFlow AI

📊 Project Structure

autoflow-ai/
├── client/                    # Next.js 16 Frontend
│   ├── src/
│   │   ├── app/              # App Router pages
│   │   ├── components/       # UI components
│   │   ├── lib/            # Utilities and API client
│   │   └── hooks/          # Custom React hooks
│   ├── public/             # Static assets
│   └── package.json
├── server/                   # Node.js Backend
│   ├── src/
│   │   ├── modules/         # API modules (auth, workflows, etc.)
│   │   ├── middlewares/     # Express middleware
│   │   ├── utils/          # Helper utilities
│   │   └── config/         # Configuration files
│   ├── prisma/             # Database schema and migrations
│   └── package.json
├── docs/                     # Documentation
└── README.md

🧪 Development

Running Tests

# Unit tests
npm run test:unit

# Integration tests
npm run test:integration

# E2E tests
npm run test:e2e

# Coverage report
npm run test:coverage

Database Management

# Generate Prisma client
npx prisma generate

# Run migrations
npx prisma migrate dev

# Reset database
npx prisma migrate reset

# View database
npx prisma studio

Code Quality

# Lint code
npm run lint

# Format code
npm run format

🚀 Deployment

Docker Deployment

# Build and run with Docker Compose
docker-compose up -d

# View logs
docker-compose logs -f

Environment-Specific Setup

Production

# Build for production
cd client && npm run build
cd server && npm run build

# Start production servers
npm run start

Environment Variables for Production

Use strong, randomly generated secrets
Configure proper CORS origins
Set up SSL certificates
Configure production database and Redis

🔒 Security Features

Authentication & Authorization

JWT Tokens: Secure access and refresh token system
Rate Limiting: Configurable rate limits per endpoint
Account Lockout: Automatic lockout after failed attempts
Session Management: Multiple concurrent sessions with limits

Data Protection

Encryption: All sensitive data encrypted at rest
Audit Logging: Complete audit trail of all actions
Input Validation: Comprehensive input sanitization
SQL Injection Prevention: Parameterized queries with Prisma

Infrastructure Security

CORS Configuration: Proper cross-origin resource sharing
Security Headers: Helmet.js for security headers
Environment Isolation: Separate configs for each environment

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Workflow

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

Code Style

Use ESLint and Prettier configurations
Follow TypeScript best practices
Write meaningful commit messages
Add tests for new features

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support & Community

Documentation: docs.autoflow.ai
Issues: GitHub Issues
Discussions: GitHub Discussions
Email: support@autoflow.ai

🗺️ Roadmap

v1.1 (Next Release)

Advanced workflow templates marketplace
Multi-tenant SSO integration
Advanced analytics and reporting
Mobile app (React Native)

v1.2 (Future)

Visual workflow builder
Advanced AI agent capabilities
Integration with 500+ more tools
Enterprise SSO (SAML, OAuth2)

📈 Performance Metrics

API Response Time: <50ms average
Uptime: 99.9% SLA
Concurrent Users: 10,000+ supported
Workflow Executions: 1M+ per day
Token Processing: 100M+ tokens monthly

Built with ❤️ by the AutoFlow AI Engineering Team

⚡ Automating the Future, One Workflow at a Time ⚡

Name		Name	Last commit message	Last commit date
Latest commit History 57 Commits
client		client
docs		docs
sdk		sdk
server		server
.gitignore		.gitignore
README.md		README.md

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Latest commit

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🚀 AutoFlow AI: The Intelligent Automation Engine

🌟 Key Features

🤖 Autonomous Agent Loops

📊 Performance Command Center

🛡️ Enterprise Security

� Modern User Experience

�🏗️ Architecture & Tech Stack

Frontend

Backend

Database & Infrastructure

AI Integration

⚡ Quick Start

1. Prerequisites

2. Installation

3. Environment Setup

4. Database Setup

5. Launch the Application

6. Access the Application

� Demo Accounts

📚 API Documentation

Authentication Endpoints

Register New User

Login

Refresh Token

Get Current User

Workflow Endpoints

Create Workflow

Execute Workflow

🎯 Usage Examples

Creating a Simple Workflow

Triggering Workflow Execution

🔧 Configuration

Environment Variables

Server Configuration

Client Configuration

📊 Project Structure

🧪 Development

Running Tests

Database Management

Code Quality

🚀 Deployment

Docker Deployment

Environment-Specific Setup

Production

Environment Variables for Production

🔒 Security Features

Authentication & Authorization

Data Protection

Infrastructure Security

🤝 Contributing

Development Workflow

Code Style

📄 License

🆘 Support & Community

🗺️ Roadmap

v1.1 (Next Release)

v1.2 (Future)

📈 Performance Metrics

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