Document Breeze RMM Go agent architecture, commands, configuration, and data flows.
npx skills add https://github.com/LanternOps/breeze --skill agent-info
Please help me install this Agent Skill. Skill: agent-info Source: https://github.com/LanternOps/breeze/tree/main/.claude/skills/agent-info Command: npx skills add https://github.com/LanternOps/breeze --skill agent-info
This quick reference provides developers with a compact guide to Breeze RMM Go agent architecture, commands, configuration, build processes, and data flows.
Enroll a device and start the breeze-agent to begin reporting hardware, inventory, and telemetry to the server.
High-intent search queries and answers about installing and using this skill.
The Breeze RMM Go agent handles enrollment and heartbeat communication by establishing a persistent WebSocket connection to report hardware, inventory, and telemetry data to the server across Windows, macOS, and Linux.
You can debug the Breeze RMM agent by referencing its documented architecture, commands, and data flows. This compact guide provides quick access for troubleshooting and extending the agent across supported operating systems.
The Breeze RMM Go agent architecture encompasses enrollment, heartbeat, WebSocket communication, updater, and build workflows, providing a compact reference for developers extending cross-platform functionality.
Yes, the Breeze RMM Go agent supports cross-platform deployment across Windows, macOS, and Linux. It includes a dedicated updater workflow and build processes to manage device reporting and telemetry.
If your Breeze RMM agent is not reporting telemetry, consult the documented WebSocket, heartbeat, and enrollment data flows to troubleshoot the connection and identify potential cross-platform build or configuration issues.
Yes, developers can extend the Breeze RMM Go agent to report custom inventory by leveraging the documented architecture, data flows, and build processes outlined in the reference guide for cross-platform development.
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