Graph namespaces and virtualization
Available through the product surface and the machine interfaces, with permission attached.
Knowledge & context · Concept
A virtualization and governance layer that isolates, composes and controls knowledge graphs across organizations, applications and AI workloads.
GraphHypervisor is built for Enterprise platform teams, data architects, multi-tenant software companies.
GraphHypervisor replaces isolated graph databases, manual graph federation and application-specific permission logic.
A virtualization and governance layer that isolates, composes and controls knowledge graphs across organizations, applications and AI workloads.
Work stays inside an explicit scope: named sources, defined permissions, bounded execution, retained evidence.
Five contracts the product is specified around. Each one is a boundary as much as a feature.
Available through the product surface and the machine interfaces, with permission attached.
Defined as an explicit contract so operators can review it before it runs.
Available through the product surface and the machine interfaces, with permission attached.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
The same three steps apply whether a person or an agent is driving.
Start from the boundary GraphHypervisor is allowed to act inside: the workspace, the sources, the budget, the authority.
Expose the same capability through the interface a human uses and the interface an agent calls, with one permission model.
Every action leaves a record that can be inspected, replayed and challenged before the next one runs.
GraphHypervisor is documented as a concept: requirements, interfaces and evidence expectations. It is not presented as a live service.