Dario-Chang/Spark-Governance-SDK
Governance‑Layer Architecture for Agent‑Native Windows RTX Spark PCs - Dario-Chang/Spark-Governance-SDK
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README
Spark Governance SDK Governance‑Layer Architecture for Agent‑Native Windows RTX Spark PCs Version 0.1 — Conceptual Architecture Overview The Spark Governance SDK defines a governance‑layer architecture for agent‑native Windows RTX Spark PCs, integrating governance primitives with the new execution substrate introduced by Microsoft and NVIDIA. Spark PCs provide: Grace CPU + Blackwell GPU unified memory (up to 128GB) Windows Workload Profile Scheduling (WPS) NVIDIA OpenShell secure agent runtime Windows agent security primitives Local frontier‑model execution (120B parameters, 1M tokens) This SDK introduces the missing governance plane: IPS Scheduling Retrieval-Boundary Enforcement Multi-Agent Orchestration Attestation & Provenance GPU-backed Settlement & Verification Regulator-Facing Compliance APIs This repository provides the architecture, diagrams, and integration notes for a Spark‑native governance layer. graph TD subgraph Agent_Layer [APPLICATION / AGENT LAYER] A[Local Agents] B[Multi-Agent Graphs] C[High-Context Workflows] end subgraph Gov_Plane [SPARK GOVERNANCE PLANE] G1[IPS Scheduler] G2[Retrieval-Boundary Engine] G3[Multi-Agent Orchestrator] G4[Attestation & Provenance] G5[Settlement & Verification] G6[Regulator API] end
subgraph Spark_Substrate [SPARK EXECUTION SUBSTRATE] S1[Windows WPS Scheduler] S2[NVIDIA OpenShell Runtime] S3[Grace CPU + Blackwell GPU] S4[CUDA/TensorRT/RTX Pipelines] end
Agent_Layer --> Gov_Plane Gov_Plane --> Spark_Substrate
style Gov_Plane fill:#f9f,stroke:#333,stroke-width:2px style Spark_Substrate fill:#e1f5fe,stroke:#01579b,stroke-width:2px
Motivation
Agent-native PCs require governance primitives that operate: locally deterministically with hardware-backed attestation with secure retrieval boundaries with multi-agent arbitration with regulator-visible outputs Spark PCs finally expose the OS and hardware primitives needed to implement a true governance plane. This SDK proposes how such a plane can be structured. Core Components IPS Scheduler Maps Importance Prediction Score → Windows WPS scheduling. Risk-weighted prioritization for agent workloads. Retrieval-Boundary Engine Enforces data scopes, provenance, and access rules inside NVIDIA OpenShell. Multi-Agent Orchestrator Runs agent graphs under governance constraints. Supports delegation, arbitration, and conflict resolution. Attestation & Provenance Binds agent identity, retrieval boundaries, and hardware attestation. Integrates with Windows agent security primitives. Settlement & Verification Uses CUDA/TensorRT/RTX pipelines for deterministic verification. Supports cross-modal consistency checks. Regulator API Outputs structured compliance events for: EU AI Act NIST AI RMF ISO/IEC 42001 Today Draft my GitHub README for Spark Governance SDK Below is the GitHub‑ready README for your new repository spark-governance-sdk. It is structured, professional, academically aligned, and tuned for Hacker News, Microsoft/NVIDIA partnership decks, and EU AI Act governance audiences. It reads like a real SDK landing page — concise at the top, deep underneath. I’ve embedded Guided Links naturally so you can expand any section instantly. Spark Governance SDK Governance‑Layer Architecture for Agent‑Native Windows RTX Spark PCs Version 0.1 — Conceptual Architecture Overview The Spark Governance SDK defines a governance‑layer architecture for agent‑native Windows RTX Spark PCs, integrating governance primitives with the new execution substrate introduced by Microsoft and NVIDIA. Spark PCs provide: Grace CPU + Blackwell GPU unified memory (up to 128GB) Windows Workload Profile Scheduling (WPS) NVIDIA OpenShell secure agent runtime Windows agent security primitives Local frontier‑model execution (120B parameters, 1M tokens) This SDK introduces the missing governance plane: IPS Scheduling Retrieval-Boundary Enforcement Multi-Agent Orchestration Attestation & Provenance GPU-backed Settlement & Verification Regulator-Facing Compliance APIs This repository provides the architecture, diagrams, and integration notes for a Spark‑native governance layer. Governance Plane Diagram Code APPLICATION / AGENT LAYER Local agents, multi-agent graphs, high-context workflows GOVERNANCE PLANE (Spark Governance SDK) IPS Scheduling Retrieval-Boundary Engine Multi-Agent Orchestrator Attestation & Provenance Settlement & Verification Regulator API SPARK EXECUTION SUBSTRATE (Microsoft + NVIDIA) Windows WPS Scheduler NVIDIA OpenShell Runtime Windows Agent Security Primitives Grace CPU + Blackwell GPU Unified Memory CUDA / TensorRT / RTX / DLSS / OptiX Motivation Agent-native PCs require governance primitives that operate: locally deterministically with hardware-backed attestation with secure retrieval boundaries with multi-agent arbitration with regulator-visible outputs Spark PCs finally expose the OS and hardware primitives needed to implement a true governance plane. This SDK proposes how such a plane can be structured. Core Components IPS Scheduler Maps Importance Prediction Score → Windows WPS scheduling. Risk-weighted prioritization for agent workloads. Retrieval-Boundary Engine Enforces data scopes, provenance, and access rules inside NVIDIA OpenShell. Multi-Agent Orchestrator Runs agent graphs under governance constraints. Supports delegation, arbitration, and conflict resolution. Attestation & Provenance Binds agent identity, retrieval boundaries, and hardware attestation. Integrates with Windows agent security primitives. Settlement & Verification Uses CUDA/TensorRT/RTX pipelines for deterministic verification. Supports cross-modal consistency checks. Regulator API Outputs structured compliance events for: EU AI Act NIST AI RMF ISO/IEC 42001 Repository Structure Code spark-governance-sdk/ README.md /docs ExecutiveOnePager.md GovernancePlaneDiagram.md SparkGovernanceSDK_Documentation.md IntegrationNotes_Windows_NVIDIA.md /diagrams governance_plane.png spark_stack_mapping.png /lineage governance-layer-primitive.md governance-layer-architecture.md Integration with Spark PCs This SDK integrates with: Windows Workload Profile Scheduling (WPS) NVIDIA OpenShell secure agent runtime Windows agent security primitives Grace + Blackwell unified memory CUDA/TensorRT/RTX verification pipelines It is designed as a hardware-aware governance layer for personal AI computing. Lineage (2003 → 2026) This SDK builds on two decades of governance-layer research: Governance-Layer Primitive Governance-Layer Architecture Invisible Logic Regulators Missed Commercial Layer for EU AI Act These repositories provide the conceptual foundation for the SDK.