Reality, held coherent.
Everything that acts needs to agree on what's true. Almost nothing does.
Reality is scattered across databases, applications, devices, and workflows — each holding its own copy, each drifting out of date the moment it's written. People have always worked around the gaps. But when software starts to act on those fragments, faster than anyone can check, drift stops being an inconvenience and becomes a safety problem. You can't safely automate what your systems can't agree on.
Not a database you query. A reality that stays coherent.
A database waits to be asked. A memory layer stores fragments and hands them back. AIONdb does neither: it holds one living model of the world, resolves the full meaning of each change before anyone sees it, keeps every change in order, and proves what happened.
Every participant — a system, a device, a person, an agent — reads a world that has already been made coherent, instead of retrieving fragments and hoping they fit together.
Every figure has a receipt.
Write. Verify. Gate.
How the truth is held — and how a change becomes a safe action, or no action at all.
Three places coherence isn't optional.
Built on open standards.
One graph, reachable over every open surface your stack already speaks. Your data is portable, verifiable, and yours; swap AI models freely, and the memory stays in the substrate — a single engine, built in Rust.
From cave paintings to enterprise databases to social networks — every advance in human coordination is the same story: someone built a better shared surface for knowledge. AI agents need the next one. This paper explains what it looks like, why it matters, and how MirrorGraph built it.
Read more →March 2026
About MirrorGraph
MirrorGraph builds software that lets autonomous systems act on what's real. Our first product, AIONdb, holds one living model of reality coherent through change — so systems, people, and agents can act from the same completed, ordered, provable truth.
Founded in Toronto by systems architect Mike Monteith, after three decades building distributed systems for high-stakes operational environments — including healthcare, energy grids, and large-scale infrastructure — with eighteen of those years focused entirely on this problem.
Reality, held coherent.
What would you automate if every system shared the same truth?
Reality, held coherent