Architecture
The Sherivs platform architecture
Eight layers, from identity to assurance. Each layer is labelled available, in development, planned, or long-term from repository evidence — not from marketing ambition.
Layer detail
Public navigation never links the internal engineering view at /platform. That route stays session-gated.
The first installed runtime on this architecture is Scholar. Removing it would not redefine the platform.
Identity and governance
Available todayPeople, organizations, and agents are first-class identities. Access is resolved from identity, membership, role, and policy — not from the interface alone.Institutional computing
Available todayA shared operating environment where an organization's people, records, and workflows live together instead of in disconnected tools.Agent orchestration
In developmentAI workers can be given bounded tasks inside permissions and human oversight. They are not unrestricted administrators and cannot expand their own access.Digital-twin runtime
In developmentTwins are intended to hold identity, state, relationships, and events, then compute on change or schedule. A complete twin runtime is not a finished public product.Intelligence and model routing
In developmentModel access is designed to go through a governed AI gateway so prompts, cost, and safety are not scattered through the product.Execution and event processing
In developmentWork should move as observable events and missions, not as untracked side effects. Event processing is present in parts of the platform and still deepening.Data and memory infrastructure
In developmentCanonical records stay separate from derived intelligence. Predictions must not silently overwrite verified state.Observability and assurance
Available todayOperators need health, audit, and verification. A public status page reports machine health without leaking internals.