An API-first email platform that provides AI agents with programmatic inboxes, real-time webhooks, and high-volume sending capabilities.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentmail
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install agentmail using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AgentMail is a specialized email infrastructure designed from the ground up for AI agents. Unlike consumer email services like Gmail or Outlook, AgentMail focuses on programmatic access, providing Openclaw Skills with the ability to create, manage, and scale email-based identities. It offers a seamless experience for developers who need to integrate email functionality into their agentic workflows without dealing with complex OAuth flows or restrictive rate limits.
By using AgentMail, your agents gain a professional communication channel capable of handling rich text, HTML content, and file attachments. This platform is a core component for Openclaw Skills that require reliable inbound and outbound communication, enabling agents to act as first-class citizens in the global email ecosystem while maintaining a developer-first approach to infrastructure.
To integrate AgentMail into your Openclaw Skills, perform the following installation steps:
pip install agentmail python-dotenv
export AGENTMAIL_API_KEY='your_api_key_here'
AgentMail organizes its data to be highly accessible for Openclaw Skills, focusing on programmatic entities:
| Component | Function | Attributes |
|---|---|---|
| Inbox | Represents the agent's email account. | inbox_id, username, client_id |
| Message | The payload of an email transmission. | to, subject, text, html, attachments |
| Webhook | Configuration for real-time events. | url, client_id |
| Attachment | Files associated with a message. | filename, content (base64) |
All data is handled via an API-first approach, ensuring that messages are easily parsed into structured formats for LLM consumption.
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