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Mesh-Native Theory Component

Cross-Device Intelligence

Cross-device intelligence enables distributed intelligence to flow seamlessly across mobile, desktop, wearable, and edge devices — with local readiness preserved and no cross-node synchronization required until nodes are connected.

Device Participation Model

Every device type participates in the mesh-native intelligence fabric with its own local readiness state.

Mobile

On-device inference, local-first privacy, edge execution

Desktop / Laptop

Full compute participation, workflow execution, mesh routing

Wearable / IoT

Sensor intelligence, lightweight inference, telemetry contribution

Server / Edge Node

Heavy inference, model hosting, distributed scheduling

Local Readiness Principles

Local Readiness Model

Each device maintains local readiness — intelligence state, cached models, and workflow context are preserved locally without requiring cross-node synchronization.

Device-as-Node Participation

Devices participate as mesh nodes with declared capabilities. The Readiness Engine tracks local capacity without pushing state to other nodes until connection is established.

Intelligence Continuity

Cross-device intelligence preserves context across device transitions. Local state machines maintain continuity so workflows resume seamlessly when devices reconnect.

Local-First Inference

Inference runs locally whenever possible. Cross-device routing is used only when local capacity is insufficient or when explicitly permitted by privacy policy.

DOSFI Sovereignty — Closed Core / Open Surface

DOSFI Core is sovereign and closed. All educational content on this page is generated exclusively from open-surface materials — SDKs, ABIs, documentation, tutorials, examples, and conceptual explanations. Internal details of the DOSFI Runtime, Scheduler, Router, Readiness Engine, Privacy Model, Power/Thermal Model, Vital internals, DIU internals, MNE internals, and Mesh-Native App runtime internals are not revealed, described, or inferred.

No proprietary algorithms, system code, or architectural diagrams capable of enabling replication of the DOSFI Core are published. When internal logic is referenced, only high-level conceptual explanations are provided. DOSFI's sovereignty, mission-lock, and non-replicable architecture are preserved at all times.

Part of the Mesh-Native Unifying Theory

Cross-device intelligence is a core component of the Mesh-Native Unifying Theory of Distributed Intelligence.