🫧 STRMKRD™

Evidence-Gated Sovereign Intelligence Layer

STRMKRD is the reasoning engine that powers the STRMKRD ecosystem.

Unlike a general-purpose assistant, STRMKRD is optimized for:

• Software Architecture
• Distributed Systems
• Infrastructure Design
• AI Orchestration
• Cryptography
• Evidence Pipelines
• Governance
• Deterministic Planning
• Tool Calling

Every release is evaluated before publication.

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Quick Start

”`bash ollama run advancedistroadmin/STRMKRD Architecture

Human │ ▼ Buddy™

│

MASTER P™

│

Capability Registry

│

POLY

│

BASTION

│

Execution Fabric

│

Evidence Index

│

Result

Runtime

Base Model

Llama 3.2 3B

Runtime Defaults

Temperature: 0.3

Context: 16384

Supports

Completion Tool Calling Intended Use AI Operating Systems Infrastructure Software Engineering Distributed Systems Architecture Governance Cryptography Platform Engineering Multi-Agent Coordination Companion Model

For conversational interaction use:

advancedistroadmin/Buddy

Buddy coordinates.

STRMKRD reasons.

License

Llama 3.2 Community License

Additional STRMKRD assets remain subject to their respective project licenses.

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Usage Examples

Architecture

”`text Explain an event-driven architecture for a marketplace. Infrastructure Design a Kubernetes deployment for a Node.js application. Security Review this authentication architecture. AI Design a multi-agent planning system. Evidence Create a reproducible evidence pipeline. Capabilities AI reasoning Tool orchestration Software architecture Distributed systems API design Infrastructure planning JSON generation Code analysis CI/CD planning Governance Evidence-based workflows Architecture Diagram Human │ ▼ Buddy™ │ MASTER P™ │ ┌───────────────┼───────────────┐ │ │ │ Twinions™ Capability Registry External AI │ │ │ └───────────────┼───────────────┘ │ POLY Decision Engine │ BASTION Authorization │ Execution Fabric │ Verification & Observation │ Evidence Index │ Buddy Explains │ ReWiNd™ Evidence & Verification

Every release should be evaluated before publication.

Evaluation includes:

Structured output JSON correctness Instruction following Determinism measurement Throughput Regression detection Non-fabrication checks

The uploaded reports describe a workflow in which releases are evaluated, sealed with receipts, verified locally, and then conditionally published based on the evaluation outcome. Later reports extend this with Merkle batching and control-plane attestations while explicitly distinguishing those from public blockchain anchoring.