Tactical RMM is a well-regarded open-source RMM with a loyal following among small MSPs and solo technicians who self-host. It is a solid, traditional RMM: an alert fires, a dashboard surfaces it, and a technician opens a session, runs a script, and writes up what happened. The platform is the instrument — the human does the operating. That model is the same one every commercial RMM ships, open source or not.
Breeze is AI-native, and that is the actual difference here — not the license. The AI operator is the product, not a feature bolted onto a dashboard. When an alert fires, the operator investigates it, correlates signals across endpoints, applies the fix, and documents the work — all inside a 4-tier risk engine where you decide what runs autonomously and what waits for a human. Across 44 modules, the operator does the routine work so the technician handles the exceptions.
Breeze is also the first RMM to ship an MCP server, so you can drive the fleet from Claude Desktop, Cursor, or ChatGPT instead of a console. It is open source under AGPL-3.0, self-hostable for free with a managed cloud in beta. Tactical RMM is a capable open-source dashboard; Breeze is an open-source RMM that brings its own operator.