🤖 AgentFlow Pro

Multi-Agent AI Platform for Business Automation - Specialized for Tourism & Hospitality

📋 Table of Contents

• 🎯 Overview
• ✨ Features
• 🏗️ Architecture
• 🚀 Quick Start
• 📦 Installation
• ⚙️ Configuration
• 🤖 AI Agents
• 🎨 Usage
• 🧪 Testing
• 📚 Documentation
• 🤝 Contributing
• 📄 License

🎯 Overview

AgentFlow Pro is a sophisticated multi-agent AI platform designed specifically for tourism and hospitality businesses. It automates content creation, manages guest communications, handles reservations, and optimizes marketing campaigns - all while maintaining brand consistency and SEO best practices.

Key Benefits

• 🎯 Tourism Specialized: Built specifically for hotels, resorts, and travel agencies
• 🤖 Multi-Agent System: 8 specialized AI agents working together
• 🌍 Multi-Language: Generate content in multiple languages
• 📈 SEO Optimized: Built-in SEO optimization and analytics
• 🔗 End-to-End: From content creation to deployment
• 💰 Cost Effective: Reduce content creation costs by 80%

✨ Features

🤖 AI Agents

• Research Agent: Market intelligence and competitor analysis
• Content Agent: SEO-optimized blog posts, landing pages, and social media
• Code Agent: Automated development and deployment
• Deploy Agent: One-click deployments to Vercel/Netlify
• Communication Agent: Personalized guest communications
• Personalization Agent: Brand voice consistency
• Reservation Agent: Automated booking management
• Optimization Agent: Performance and conversion optimization

🏗️ Core Platform

• Visual Workflow Builder: Drag-and-drop agent orchestration
• Knowledge Graph: Persistent memory and context management
• Multi-Property Support: Manage multiple properties/locations
• Team Collaboration: Role-based access and team workflows
• Analytics Dashboard: Comprehensive performance metrics

🏨 Tourism Features

• Property Management: Room inventory, rates, and availability
• Guest Management: Profiles, preferences, and communication history
• Reservation System: Automated booking and confirmation workflows
• Multi-Language Content: Generate content in 20+ languages
• SEO Tools: Keyword tracking and optimization recommendations

🏗️ Architecture

Tech Stack

Frontend

• Next.js 15 + React 19 + TypeScript
• TailwindCSS + shadcn/ui components
• Zustand for state management
• React Flow for workflow visualization

Backend

• Node.js + Express + TypeScript
• PostgreSQL + Prisma ORM
• Redis for caching and queues
• NextAuth.js for authentication

AI Infrastructure

• OpenAI GPT-4 for content generation
• Memory MCP for knowledge graph
• Sequential Thinking MCP for decision making
• Custom agent orchestration system

Deployment & Monitoring

• Vercel for frontend hosting
• Docker for agent containers
• Sentry for error tracking
• GitHub Actions for CI/CD

MCP Integrations

• Memory: Knowledge graph and context persistence
• GitHub: Code management and version control
• Vercel/Netlify: Deployment automation
• Firecrawl: Web scraping and research
• Context7: API documentation integration
• Playwright: E2E testing automation

🚀 Quick Start

Prerequisites

• Node.js 18+ and npm
• PostgreSQL 14+
• Redis 6+
• OpenAI API key

One-Click Setup

# Clone the repository
git clone https://github.com/your-org/agentflow-pro.git
cd agentflow-pro

# Install dependencies
npm install

# Setup environment variables
cp .env.example .env.local
# Edit .env.local with your API keys

# Setup database
npm run db:migrate
npm run db:seed

# Start development server
npm run dev

Visit http://localhost:3002 to get started.

📦 Installation

Environment Variables

Create .env.local with the following:

# Database
DATABASE_URL="postgresql://user:password@localhost:5432/agentflow_pro"

# Authentication
NEXTAUTH_SECRET="your-secret-key"
NEXTAUTH_URL="http://localhost:3002"

# AI Services
OPENAI_API_KEY="sk-..."
OPENAI_BASE_URL="https://api.openai.com/v1"

# External APIs
GITHUB_TOKEN="ghp_..."
FIRECRAWL_API_KEY="fc-..."
CONTEXT7_API_KEY="..."

# Optional
REDIS_URL="redis://localhost:6379"
SENTRY_DSN="https://..."
STRIPE_SECRET_KEY="sk_test_..."
STRIPE_PUBLISHABLE_KEY="pk_test_..."
# Email (verification, password reset, team invites)
RESEND_API_KEY="re_..."
EMAIL_FROM="AgentFlow Pro <notifications@agentflow.pro>"

MCP Setup

AgentFlow Pro uses Model Context Protocol (MCP) servers for AI-assisted development. Configure them in ~/.cursor/mcp.json:

MCP	Purpose	Env Variable
Neon	Database – SQL, schema	OAuth ali NEON_API_KEY
Memory	Knowledge graph & context	—
GitHub	Repo management	GITHUB_TOKEN
Git	Version control	—
Playwright	E2E testing	—
Firecrawl	Web scraping	FIRECRAWL_API_KEY
Context7	API documentation	CONTEXT7_API_KEY
Vercel	Frontend deploy	—
Docker	Agent containers	—
Sentry	Error monitoring	—
Sequential Thinking	Complex decisions	—

See .cursor/MCP_REQUIRED.md for full mcp.json reference and verification.

Production (Vercel)

For production deployment, see docs/VERCEL-ENV-CHECKLIST.md for required variables: DATABASE_URL, STRIPE_*, NEXTAUTH_*, SENTRY_*, and optional RESEND_API_KEY, EMAIL_FROM (Phase E – email verification, password reset, team invites).

Database Setup

# Generate Prisma client
npm run db:generate

# Run migrations
npm run db:migrate

# Seed with sample data
npm run db:seed

⚙️ Configuration

Agent Configuration

Each agent can be configured in src/agents/[agent]/config.ts:

export const agentConfig = {
  maxRetries: 3,
  timeout: 30000,
  model: "gpt-4-turbo",
  temperature: 0.7,
};

Workflow Builder

Create custom workflows in the visual builder or via API:

const workflow = {
  name: "Blog Post Generator",
  nodes: [
    { id: "1", type: "research", data: { query: "tourism trends 2024" } },
    { id: "2", type: "content", data: { format: "blog-post" } },
    { id: "3", type: "deploy", data: { platform: "vercel" } }
  ],
  edges: [
    { source: "1", target: "2" },
    { source: "2", target: "3" }
  ]
};

🤖 AI Agents

Research Agent

Gathers market intelligence and competitor data.

const research = await orchestrator.queueTask("research", {
  query: "luxury resort trends 2024",
  sources: ["firecrawl", "serpapi"],
  outputFormat: "structured-json"
});

Content Agent

Generates SEO-optimized content.

const content = await orchestrator.queueTask("content", {
  type: "blog-post",
  topic: "Sustainable Tourism Practices",
  seoKeywords: ["sustainable travel", "eco-friendly resorts"],
  language: "en"
});

Code Agent

Automates development tasks.

const code = await orchestrator.queueTask("code", {
  task: "Add booking form validation",
  repo: "your-org/your-repo",
  createPr: true
});

Deploy Agent

Handles deployments automatically.

const deploy = await orchestrator.queueTask("deploy", {
  platform: "vercel",
  project: "my-tourism-site",
  environment: "production"
});

🎨 Usage

Creating Your First Workflow

1. Navigate to Workflows: Click "Workflows" in the dashboard
2. Create New Workflow: Click "New Workflow"
3. Add Agents: Drag agents from the sidebar to the canvas
4. Configure Agents: Click each agent to set parameters
5. Connect Agents: Drag connections between agents
6. Test Workflow: Click "Test" to validate
7. Deploy: Click "Deploy" to activate

Managing Properties

1. Go to Properties: Access via dashboard
2. Add Property: Fill in property details
3. Configure Settings: Set rates, rooms, and policies
4. Connect Agents: Enable specific agents for this property

Generating Content

1. Select Content Type: Blog post, landing page, or social media
2. Input Topic: Describe what you want to create
3. Choose Language: Select target language
4. Generate: Click "Generate" and wait for AI to complete
5. Review & Edit: Make any necessary adjustments
6. Publish: Deploy to your website or social channels

🧪 Testing

Run All Tests

# Unit tests
npm run test

# E2E tests
npm run test:e2e

# API tests
npm run test:api

# Tourism-specific tests
npm run test:tourism

Test Coverage

# Generate coverage report
npm run test -- --coverage

E2E Testing with Playwright

# Install Playwright browsers
npm run playwright:install

# Run tests in UI mode
npm run test:e2e:ui

# Run specific test suite
npm run test:e2e:tourism

📚 Documentation

• API Documentation: REST API reference
• Phase E – Auth & Email: Email flow, password reset, User Profile API
• Agent Development: Building custom agents
• Deployment Guide: Production deployment
• Troubleshooting: Common issues

Architecture Diagrams

• System Architecture: High-level overview
• Database Schema: Data model documentation
• Agent Flow: Agent interaction patterns

🤝 Contributing

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

Development Workflow

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Make your changes
4. Run tests: npm run test
5. Commit changes: git commit -m 'Add amazing feature'
6. Push to branch: git push origin feature/amazing-feature
7. Open a Pull Request

Code Style

• Use TypeScript for all new code
• Follow ESLint configuration
• Write tests for new features
• Update documentation as needed

📄 License

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

🆘 Support

• Documentation: agentflow-pro.docs
• Issues: GitHub Issues
• Email: support@agentflow.pro
• Discord: Community Server

🚀 Roadmap

Version 1.1 (Q2 2024)

• Advanced analytics dashboard
• Custom agent builder
• Mobile app (React Native)
• Advanced workflow templates

Version 2.0 (Q3 2024)

• Enterprise features
• White-label options
• Advanced integrations (Slack, Zapier)
• AI-powered pricing optimization

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Built with ❤️ for the tourism industry

AgentFlow Pro - Transform your hospitality business with AI automation