AgenticFlow is an advanced AI-powered automation platform designed to streamline digital communication and content management. The system intelligently processes emails, generates context-aware responses, and transforms newsletters into engaging social media content across multiple platforms.

• Automated Email Processing: Fetch and analyze incoming emails in real-time
• AI-Powered Responses: Generate contextually relevant email replies
• Newsletter Intelligence: Extract and categorize content from newsletters
• Smart Prioritization: Automatically categorize and prioritize incoming messages

• Multi-Platform Publishing: Seamless content distribution to Twitter, LinkedIn, and more
• Platform-Optimized Content: Automatic formatting for each social network's requirements
• Scheduled Posting: Plan and schedule content for optimal engagement
• Content Enrichment: Auto-generate hashtags, mentions, and media attachments

• CrewAI Orchestration: Coordinated team of specialized AI agents
• Modular Architecture: Easily extensible with new capabilities
• Self-Improving: Learns from user feedback and interactions

• Frontend: React.js with Tailwind CSS for a responsive UI
• Backend: FastAPI for high-performance async operations
• Database: PostgreSQL with SQLAlchemy ORM
• Authentication: JWT-based secure access
• Task Queue: Asynchronous task processing
• Comprehensive Logging: Built-in monitoring and debugging

• Python 3.10+
• PostgreSQL 13+
• Redis (for task queue)
• Gmail API credentials
• Social media API credentials (Twitter, LinkedIn)

1. Clone the repository:

   git clone https://github.com/yourusername/AgenticFlow.git
   cd AgenticFlow

2. Set up the backend:

   cd backend
   python -m venv venv
   source venv/bin/activate  # On Windows: .\venv\Scripts\activate
   pip install -r requirements.txt

3. Configure environment variables: Copy .env.example to .env and update with your credentials.

4. Initialize the database:

   alembic upgrade head

5. Start the development server:

   uvicorn main:app --reload

AgenticFlow/
├── backend/               # Backend application
│   ├── agents/           # AI agent implementations
│   ├── api/              # API endpoints
│   ├── database/         # Database models and migrations
│   ├── models/           # Pydantic models
│   ├── services/         # Business logic
│   ├── utils/            # Utility functions
│   ├── main.py           # FastAPI application
│   └── requirements.txt  # Python dependencies
├── frontend/             # React frontend (coming soon)
├── tests/                # Test suite
├── .env.example          # Example environment variables
├── .gitignore
└── README.md             # This file

The system is built around specialized AI agents that work together:

1. Email Fetcher: Retrieves and processes incoming emails
2. Email Analyzer: Analyzes email content and intent
3. Reply Generator: Crafts context-aware email responses
4. Newsletter Processor: Extracts valuable content from newsletters
5. Post Formatter: Optimizes content for different social platforms
6. Social Poster: Manages content distribution to social networks

• API Documentation (available when running locally)
• Architecture Decision Records
• Development Guide

pytest

This project uses:

• Black for code formatting
• isort for import sorting
• Flake8 for linting

Run formatting and linting:

black .
isort .
flake8

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

• Built with FastAPI
• Powered by CrewAI
• Inspired by modern AI agent architectures