agentmail

What This Skill Does

AgentMail provides your AI agent with a dedicated, programmatic email inbox using the @agentmail.to domain. This skill allows your agent to participate in human-to-machine workflows by enabling it to read incoming emails, process requests sent by humans, and initiate outbound communication independently. By bridging the gap between standard email infrastructure and AI-native architecture, AgentMail transforms your agent into a professional communicator capable of handling notifications, support inquiries, or scheduled reporting.

Installation

Installation follows a standard four-step process for OpenClaw agents. First, secure an API key from the AgentMail console and ensure your human administrator provides the email address. Second, install the library using pip install agentmail (or with --break-system-packages if environment restrictions apply). Third, establish your local configuration in ~/.agentmail/config.json with restricted file permissions (700 for the folder, 600 for the file) to ensure secure key storage. Finally, verify your connectivity by running a test script that fetches your current inbox message count. For enhanced integration, you may install the full module via clawhub install openclaw/skills/skills/rimelucci/agent-mail.

Use Cases

AgentMail is ideal for agents acting as personal assistants or customer support representatives. It is perfect for monitoring automated alerts, managing calendar invitations, or coordinating tasks with remote team members who prefer email over chat interfaces. It also serves as a robust mechanism for long-running workflows where an agent needs to report status updates to a human supervisor once a task is completed.

Example Prompts

1. "Check my inbox for any emails from the billing department and summarize their contents for me."
2. "Draft an email to [email protected] using the data I just processed, informing them that the analysis is complete."
3. "Is there any new correspondence in my agentmail? If so, reply to the latest message acknowledging receipt and stating I will follow up by EOD."

Tips & Limitations

Always ensure your API key remains encrypted or protected in your environment configuration; never hardcode it into agent scripts. Be aware that this skill relies on an external API (api.agentmail.to), so ensure your network policy allows outbound communication to this host. While the Python SDK simplifies most tasks, the REST API serves as a powerful fallback for debugging or custom integrations outside of standard Python environments. Always verify the recipient address before sending to prevent accidental data disclosure.