GitHub - Dario-Chang/Spark-Governance-SDK: Governance‑Layer Architecture for Agent‑Native Windows RTX Spark PCs · GitHub
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Dario-Chang
Spark-Governance-SDK
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ExecutiveOnePager.md
ExecutiveOnePager.md
GovernancePlaneDiagram.md
GovernancePlaneDiagram.md
Integration-Windows_NVIDIA.md
Integration-Windows_NVIDIA.md
IntegrationNotes_Windows_NVIDIA.md
IntegrationNotes_Windows_NVIDIA.md
README.md
README.md
SparkGovernanceSDK_Documentation.md
SparkGovernanceSDK_Documentation.md
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Spark Governance SDK<br>Governance‑Layer Architecture for Agent‑Native Windows RTX Spark PCs<br>Version 0.1 — Conceptual Architecture<br>Overview<br>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.<br>graph TD<br>subgraph Agent_Layer [APPLICATION / AGENT LAYER]<br>A[Local Agents]<br>B[Multi-Agent Graphs]<br>C[High-Context Workflows]<br>end
Gov_Plane<br>Gov_Plane --> Spark_Substrate
style Gov_Plane fill:#f9f,stroke:#333,stroke-width:2px<br>style Spark_Substrate fill:#e1f5fe,stroke:#01579b,stroke-width:2px
Motivation">subgraph Gov_Plane [SPARK GOVERNANCE PLANE]<br>G1[IPS Scheduler]<br>G2[Retrieval-Boundary Engine]<br>G3[Multi-Agent Orchestrator]<br>G4[Attestation & Provenance]<br>G5[Settlement & Verification]<br>G6[Regulator API]<br>end
subgraph Spark_Substrate [SPARK EXECUTION SUBSTRATE]<br>S1[Windows WPS Scheduler]<br>S2[NVIDIA OpenShell Runtime]<br>S3[Grace CPU + Blackwell GPU]<br>S4[CUDA/TensorRT/RTX Pipelines]<br>end
Agent_Layer --> Gov_Plane<br>Gov_Plane --> Spark_Substrate
style Gov_Plane fill:#f9f,stroke:#333,stroke-width:2px<br>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<br>IPS Scheduler<br>Maps Importance Prediction Score → Windows WPS scheduling.<br>Risk-weighted prioritization for agent workloads.
Retrieval-Boundary Engine<br>Enforces data scopes, provenance, and access rules inside NVIDIA OpenShell.
Multi-Agent Orchestrator<br>Runs agent graphs under governance constraints.<br>Supports delegation, arbitration, and conflict resolution.
Attestation & Provenance<br>Binds agent identity, retrieval boundaries, and hardware attestation.<br>Integrates with Windows agent security primitives.
Settlement & Verification<br>Uses CUDA/TensorRT/RTX pipelines for deterministic verification.<br>Supports cross-modal consistency checks.
Regulator API<br>Outputs structured compliance events for:
EU AI Act
NIST AI RMF
ISO/IEC 42001
Today<br>Draft my GitHub README for Spark Governance SDK<br>Below is the GitHub‑ready README for your new repository spark-governance-sdk.<br>It is structured, professional, academically aligned, and tuned for Hacker News, Microsoft/NVIDIA partnership decks, and EU AI Act governance audiences.<br>It reads like a real SDK landing page — concise at the top, deep underneath.
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