OpenFrame Now Runs Its Own RMM. Here's What That Means.
We stopped depending on someone else's foundation. Mingo is now fully grounded in infrastructure we own, operate, and control.
OpenFrame replaced TacticalRMM with a remote monitoring and management platform we built ourselves. No third-party agent, no upstream dependency, no vendor whose roadmap we can't push on when it counts. The RMM layer is ours now, agent to dashboard.
This isn't a rebrand of someone else's code. OpenFrame runs its own RMM stack, built from the ground up and wired natively into Flamingo, the AI-native all-in-one MSP and IT platform. Everything from the agent on your endpoints to the data in your dashboard is ours to build, maintain, and fix. If RMM is new territory for you, our primer on what RMM is covers the fundamentals first.
For MSPs who've spent years depending on vendors who lean on other vendors, that ownership changes the math. When the agent misbehaves, we fix the agent, on our clock, not an upstream maintainer's.
Why We Built Our Own RMM
TacticalRMM is a capable open-source project with a real community behind it, and it did real work in OpenFrame's early days. As Flamingo grew into something MSPs run their whole day on, building on infrastructure we didn't control started costing us.
A TacticalRMM agent would act up, and to our users that read as an OpenFrame failure. An upstream change would break a workflow, and the support tickets landed on our desk. And whenever we tried to wire RMM data deeper into Flamingo's service delivery layer, we ran into the limits of an architecture we didn't own.
The MSPs we work with know this one cold. They've lived it with their own stacks. Depending on a tool you can't control is a liability, so we cut ours. Owning the RMM outright was the only way to get the reliability, integration depth, and shipping speed we're after. If you're weighing where TacticalRMM still fits, we get into the trade-offs in our Tactical RMM alternatives breakdown.
What Full Stack Ownership Means
Full stack ownership gets thrown around loosely, so here's what it comes down to for us.
We own the agent. The software on your managed endpoints is written, maintained, and deployed by OpenFrame engineers. There's no upstream repo we're forking and praying stays compatible. When we need to change agent behavior, add telemetry, or kill a bug, we ship it on our schedule.
The data pipeline is ours too. Endpoint event, Flamingo alert, technician action: one system, one codebase, no translation layer between a third-party RMM API and our platform logic. Data fidelity goes up, latency comes down, and the edge cases that used to slip through the seam between two systems get caught in one place.
And we own the roadmap. That one matters most. Features that used to mean lobbying an external project or waiting on a maintainer to merge a pull request now get scoped, built, and shipped by our team. What we build next isn't capped by what someone else feels like working on.
Giving TacticalRMM Its Due
TacticalRMM served a real purpose in OpenFrame's early architecture. It let us move fast, ship RMM without rebuilding everything from zero, and learn what MSPs need from a monitoring and management layer.
Plenty of MSPs still run it well as a standalone tool, and it fell short of nothing. OpenFrame simply outgrew depending on anyone else this deep in the stack. We got real mileage out of the project. We'll get more out of owning the layer ourselves.
What This Means for Flamingo Users Right Now
If you're an active Flamingo user, the transition is built to stay quiet on your end. The monitoring and management workflows you rely on are intact. What changed sits underneath them, and it's an upgrade.
Agent stability is where you'll notice it first. Now that we run the full agent lifecycle, we respond to issues faster, push updates more deliberately, and instrument the agent to catch failure modes before they ever reach your clients.
The bigger change is integration depth. With the RMM and Flamingo's service delivery layer sharing one native architecture, alerting logic, ticket creation, automation triggers, and endpoint context finally connect without a bridge between two platforms. That shared foundation is why AI agents in service delivery do real work here rather than sit on top as a bolt-on.
Got questions about the migration or how your specific setup is affected? The OpenFrame support team can walk you through it, and we've documented the agent transition in the OpenFrame knowledge base.
What Vendor Dependency Costs You
Every vendor under your service delivery stack is a bet: that they stay reliable, that they stay in business, and that their incentives keep pointing the same way as yours. Most of the time you never think about it. Then something breaks.
When your RMM vendor leans on another vendor who leans on another, you're three companies removed from whoever can fix a 2 AM outage. The SLAs you've promised your clients end up riding on a support chain you don't control.
Owning its RMM stack is how OpenFrame answers that. So don't take our word for it. Judge us on the architecture we build and the accountability that comes with owning it. Control over your own stack is worth demanding from any platform you run your business on, and it's a big reason OpenFrame stays affordable, with no vendor lock-in.
What Comes Next
Our roadmap is public and open for your vote. Pick what matters most to you.
So far, our plan looks like this:
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Ohayo! I'm Kristina, and I'm doing good things with content, SEO, social, and community at Flamingo. Before IT, I worked as a correspondent for Ukraine's Public Broadcasting Company and have a Master's in journalism.