Introduction
Myxara is an open-source email infrastructure platform designed specifically for AI agents. It handles the complexity of email so you can focus on building intelligent agents.
Why Myxara?
Building AI agents that communicate via email involves dealing with:
- SMTP/IMAP servers and configuration
- Email parsing and formatting
- Spam filtering and deliverability
- Multi-tenant isolation and security
- Webhooks and real-time notifications
Myxara handles all of this for you through a simple REST API and TypeScript SDK.
What can you build?
🤖 AI Customer Support
Build intelligent support agents that automatically respond to customer emails, categorize tickets, and escalate complex issues.
📧 Lead Nurturing
Create AI SDRs that engage with inbound leads, qualify prospects, and schedule meetings automatically.
📊 Email Analysis
Process incoming emails for sentiment analysis, categorization, priority scoring, and automated routing.
🔄 Workflow Automation
Trigger actions based on email content, create email-driven workflows, and integrate with your existing tools.
How it works
graph LR
A[AI Agent] -->|REST API| B[Myxara]
B -->|Send| C[Customer]
C -->|Reply| D[AWS SES]
D -->|Webhook| B
B -->|Event| A- Create an inbox - Get a programmatic email address for your AI agent
- Send emails - Use the SDK to send emails with HTML, attachments, etc.
- Receive emails - Get webhook notifications when new emails arrive
- Process with AI - Let your LLM read and respond to emails
Key Features
- 🚀 Instant Setup - Create inboxes in seconds, no DNS configuration needed
- 📧 Full Email Stack - Send and receive with HTML, attachments, threading
- 🔐 Secure by Default - API key auth, multi-tenant isolation, rate limiting
- 🎯 Built for AI - Simple API designed for LLMs and automation
- 🏠 Self-Hostable - Run on your own infrastructure
- ⚡ Production Ready - TypeScript SDK with retries, error handling, monitoring
Next Steps
- Install the SDK - Get started in 5 minutes
- Quick Start - Create your first inbox and send an email
- View Examples - See production-ready code examples