Agents are built to reason, but they lack the infrastructure to finish the work correctly — verified, coordinated, and provable. AIONdb gives autonomous agents the shared memory and exact ground truth they need to execute tasks, checking every command before it reaches a real system, and leaving a provable record.
The foundation for autonomous action is finally here.
WHAT IT IS
AIONdb holds one shared ground truth: a live record of exact facts, kept in the order they happened and governed by who may see and change them. Agents come and go, models get swapped, and sessions end, but the record persists: queryable, provable, and audited.
The memory doesn’t live in the agent; the agent lives in the memory.
AIONdb doesn’t replace the systems you have. It connects to them and holds one live, exact, provable picture your agents act from.
THE DIFFERENCE
Databases capture what happened, dashboards raise alerts, and AI tools make predictions. But all of them stop where the work begins: none of them will carry a task through to finished. The work waits for whoever notices it, and when no one does, it simply doesn’t happen.
AIONdb is built for that moment. It gives autonomous agents a shared, persistent memory and standing rules that live in the substrate itself — watching the record and firing the moment a condition is met — so a task is tracked until it’s finished, escalated if it’s ignored, and closed with signed proof. Done, not sent. Proven, not promised.
And orchestration frameworks wire agents together through a coordinator that becomes the single point of failure. AIONdb has no coordinator: agents coordinate through the shared record itself — one goes down, the rest keep working, and it catches up from the log when it returns. Zero lines of coordination code.
The engine enforces follow-through across three pillars:
Ask the same question, get the same answer: deterministic to the integer, citable to the source.
Every write is signed, ordered, and chained into a tamper-evident record. A third party can verify the record without trusting us.
Before any command reaches a real system, whether it’s deploying code or adjusting a clinical device, a deterministic check confirms the target is present and ready, or the command does not fire.
THE EVIDENCE
Every figure below is a conservative floor, reproducible from timestamped records. The reproduction commands ship with every evaluation install.
Full production security path (authentication, TLS, role-based access, encrypted audit) at under 3% throughput cost, effectively zero at scale.
THE MECHANISM
Every action an agent takes travels the same three-step path.
Agents record observations and decisions as typed facts, through the same authenticated path as every other client — and the policy engine bounds every participant to exactly what it may see and what it may share. No privileged shortcut, no roaming the record.
The engine orders every change and keeps the record coherent before anyone reads it. Every write is signed into the tamper-evident chain.
When an agent’s command would touch a real system, a protocol-level probe confirms the target is live and ready before it passes.
Every task ends the same way: with signed proof it happened. Any moment can be replayed, so you can see exactly what occurred and why.
WHO IT’S FOR
Accepted teams are running the same afternoon: a single 30 MB binary, no dependencies, and what you test locally is what runs in production.
The memory, coordination, and audit that let a pilot survive production.
Hospital wards, buildings, energy grids — where a wrong action has consequences you can’t undo: the reason the gate exists.
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 AIONdb built it.
Read our white paper →The AI world is asking urgent questions about agents — how they coordinate, how they remember, and what happens when they act. AIONdb was built to answer them.
AIONdb is a reactive knowledge graph and continuity engine — one shared ground truth that AI agents and people work from together. It was engineered from the memory layer up, with no existing database underneath: lock-free, zero-copy, and cryptographically auditable. It carries 149 patent-pending claims across three USPTO provisional filings, and it has been tested through 270 million+ queries producing 440 billion+ error-free result triples, with zero failures. Agents built on AIONdb keep their memory across sessions, model swaps, vendors, and restarts — and every command that would touch a real system is checked before it fires.
AIONdb was created by Mike Monteith, a Canadian technology builder, inventor, and systems architect. For 35 years, Mike has been focused on how distributed, autonomous systems coordinate truth — eighteen of them chasing this exact problem. Mike founded and led ThoughtWire, a Canadian company focused on digital twin technology, for over 15 years, building real-time operating platforms for life-critical infrastructure at scale — smart hospitals, large commercial environments, and complex physical systems.
AIONdb is the culmination of that career. The gate exists because Mike spent those years in places where a wrong action can’t be undone.
Mike Monteith — Founder & Chief Architect
This is the one to bring to us. Apply for the beta, or write to the team.