Email Agent 🤖📧

A comprehensive CLI Email Agent with AI-powered multi-agent orchestration for intelligent email management, triage, and automation.

🚀 Features

🧠 AI-Powered Multi-Agent System

• Crew-AI Orchestration: Multi-agent system with specialized roles
• Smart Categorization: Automatic email categorization using ML
• Intelligent Prioritization: AI-driven priority scoring and triage
• Action Extraction: Extracts actionable items, commitments, and deadlines
• Thread Summarization: AI-powered thread analysis with insights
• Learning System: Learns from user feedback to improve decisions

🏢 CEO Intelligence System

• Enhanced Labeling: Advanced spam filtering with sender reputation scoring
• Relationship Intelligence: Strategic contact profiling (board, investors, customers)
• Thread Continuity: Conversation tracking with context-aware labeling
• Auto-Escalation: VIP contact priority handling with smart routing
• Strategic Analysis: Board member and investor communication prioritization

📧 Email Connectors

• Gmail Integration: Full Gmail API support with OAuth2
• IMAP Support: Universal IMAP connector for any email provider
• Outlook Support: Microsoft Graph API integration

🏷️ Advanced Gmail SDK Features

• Smart Labels: Automatic Gmail label creation and application
• Calendar Integration: Auto-creates calendar events from meeting requests
• Smart Replies: AI-generated reply suggestions
• Bulk Operations: Efficient batch processing of emails

📊 Intelligence & Analytics

• Daily Briefs: AI-generated summaries with actionable insights
• Commitment Tracking: Track commitments, deadlines, and follow-ups
• Thread Analysis: Comprehensive thread summarization with business insights
• Performance Metrics: Email processing statistics and effectiveness scores

🖥️ Interface Options

• Rich CLI: Feature-rich command-line interface with Typer
• Interactive TUI: Beautiful terminal UI with Textual
• Docker Support: Containerized deployment with persistence

🔒 Privacy-First Design

• Local Storage: SQLite database with no cloud dependencies
• Secure OAuth: Industry-standard authentication flows
• Credential Protection: Secure credential management

📦 Installation

Prerequisites

• Python 3.11+
• Git
• Docker (optional)

Quick Install

git clone https://github.com/haasonsaas/email-agent.git
cd email-agent
pip install -e .

Docker Install

git clone https://github.com/haasonsaas/email-agent.git
cd email-agent
docker-compose up --build -d

🚀 Quick Start

1. Initialize the Agent

email-agent init

2. Add Gmail Connector

email-agent config add-connector gmail

3. Sync Emails

email-agent sync --since yesterday

4. View Daily Brief

email-agent brief --today

5. Smart Action Processing

email-agent smart-actions --apply-labels --replies

🛠️ Commands Overview

Core Operations

# Full sync with AI processing
email-agent sync --since "1 week ago" --brief

# View system status and statistics
email-agent status

# Generate daily brief
email-agent brief --today --detailed

# Launch interactive dashboard
email-agent dashboard

AI-Powered Features

# Extract actions from emails with Gmail integration
email-agent smart-actions --apply-labels --replies --events

# Intelligent email handling
email-agent auto-handle --verbose

# Summarize email threads
email-agent thread-summary --insights --overview

# View smart inbox with AI triage
email-agent smart-inbox --limit 50

🏢 CEO Intelligence Commands

# Setup CEO label system in Gmail
email-agent ceo setup

# Apply basic CEO labeling
email-agent ceo label --limit 200

# Enhanced intelligence with relationship analysis
email-agent ceo intelligence --limit 100 --dry-run

# Analyze strategic relationships
email-agent ceo relationships --limit 1000

# Thread continuity analysis
email-agent ceo threads --limit 500

# View CEO email insights
email-agent ceo analyze

Commitment & Task Management

# View commitments and deadlines
email-agent commitments --report

# View overdue items
email-agent commitments --overdue

# Mark commitment as completed
email-agent mark-complete 123 --notes "Completed successfully"

Learning & Feedback

# Provide feedback on AI decisions
email-agent feedback email-123 --feedback "Category should be work" --correct "work"

# View learning statistics
email-agent learning-stats

# Export learning data
email-agent export-learning learning-backup.json

Configuration & Management

# Add email connectors
email-agent config add-connector gmail
email-agent config add-connector imap

# Manage categorization rules
email-agent rule add "sender:github.com" work high

# View categories and statistics
email-agent cat list
email-agent stats

🔧 Configuration

Environment Variables

# Required
OPENAI_API_KEY=your-openai-key
GOOGLE_CLIENT_ID=your-gmail-client-id
GOOGLE_CLIENT_SECRET=your-gmail-client-secret

# Optional
DATABASE_URL=sqlite:///data/email_agent.db
LOG_LEVEL=INFO
BRIEF_OUTPUT_DIR=./briefs

Gmail Setup

1. Create a Google Cloud Project
2. Enable Gmail API
3. Create OAuth 2.0 credentials
4. Add credentials to the agent configuration

🏗️ Architecture

Multi-Agent System

EmailAgentCrew
├── CollectorAgent      # Email synchronization
├── CategorizerAgent    # AI-powered categorization
├── SummarizerAgent     # Content summarization
├── ActionExtractor     # Action item extraction
├── ThreadSummarizer    # Thread analysis
├── LearningSystem      # Feedback processing
└── CommitmentTracker   # Task management

Data Flow

Email Sources → Collectors → Categorizers → Action Extractors → Database
                    ↓              ↓              ↓
              AI Processing → Smart Labels → Commitment Tracking
                    ↓              ↓              ↓
              Daily Briefs → Thread Summaries → Learning System

🎯 Use Cases

📈 Executive/Manager

• Daily Brief: Start each day with AI-generated email summaries
• Priority Inbox: Focus on high-importance emails first
• Commitment Tracking: Never miss deadlines or commitments
• Thread Summaries: Quickly understand long email conversations

👩‍💻 Developer/Knowledge Worker

• Smart Categorization: Automatically organize technical emails
• Action Extraction: Convert emails to actionable tasks
• Smart Labels: Organize Gmail with intelligent labeling
• Learning System: Improve AI decisions over time

🏢 Teams & Organizations

• Bulk Processing: Handle high email volumes efficiently
• Standardized Workflows: Consistent email handling across team
• Analytics: Understand email patterns and effectiveness
• Docker Deployment: Easy containerized deployment

📊 Example Outputs

Daily Brief

# Daily Email Brief - 2025-08-01

## 📊 Statistics
- Total Emails: 47
- Unread: 23
- High Priority: 8
- Action Items: 12

## 🔴 Urgent Actions
1. Review budget proposal from Finance (Due: Today)
2. Approve design mockups for client (Due: Tomorrow)
3. Follow up on server migration status

## 📅 Meetings & Events  
- Team standup moved to 2 PM
- Client presentation scheduled for Friday

## 💡 Key Insights
- 40% increase in support emails this week
- 3 potential sales opportunities identified
- Security alert requires immediate attention

Smart Actions Output

🔍 Smart Action Extraction Starting...
Found 15 emails to analyze for actions

📧 Budget Q4 Planning Meeting Request
   From: finance@company.com
   📢 Needs response: urgent
   📋 Actions: 1
     • Review Q4 budget spreadsheet (Due: 2025-08-05)
   📅 Meetings: 1
     • schedule meeting
   🏷️  Gmail labels applied
   💬 Smart reply generated (234 chars)

📊 Action Extraction Summary:
  📋 Total action items: 23
  🤝 Total commitments: 7
  📅 Meeting requests: 4
  ⏰ Items with deadlines: 15

⚠️  3 items due TODAY!
📅 8 items due this week

🧪 Development

Setup Development Environment

git clone https://github.com/haasonsaas/email-agent.git
cd email-agent
pip install -e ".[dev]"

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=email_agent

# Type checking
mypy src/email_agent

Code Quality

# Format code
black src/
isort src/

# Lint code  
ruff check src/

# Quality analysis
pyrefly check

🤝 Contributing

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

📄 License

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

🙏 Acknowledgments

• OpenAI for GPT-4 integration
• Google for Gmail API
• Crew-AI for multi-agent orchestration
• Typer and Textual for beautiful CLI/TUI interfaces
• Rich for terminal formatting
• SQLAlchemy for robust data management

🚀 Roadmap

• Microsoft Outlook/Exchange integration
• Slack/Teams integration for notifications
• Natural language query interface
• Email template generation
• Advanced analytics dashboard
• Multi-user support
• Mobile app companion
• Integration with task management tools (Todoist, Notion, etc.)

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