CMPSBL OS Substrate v6.x.x

A Governed Cognitive Operating System for Persistent AI Systems

This release presents the complete technical documentation set for CMPSBL OS Substrate v6.x.x, including system architecture, module specifications, API references, performance benchmarks, validation methodology, and verified live runtime evidence. CMPSBL is a cognitive operating system designed for multi-model AI systems, operating at the substrate layer to provide persistent state, observability, resilience, governance, and controlled self-improvement across long-running AI workloads.

CMPSBL is not an agent framework or application runtime. It functions as an autonomy substrate, enabling AI systems to persist, coordinate, adapt, and improve over time while remaining observable, auditable, and constrained by explicit safety and governance mechanisms.

Module Architecture (v6.x.x)

The v6.x.x release documents a fourteen-module architecture spanning kernel, cognitive, operational, administrative, and orchestration layers:

• CORE — substrate kernel (scheduling, routing, lifecycle)
• RIPPLE — event propagation and state coordination
• ACCESS — identity, permissions, and rate enforcement
• BRAIN — persistent memory and knowledge graph
• DECODE - epistemic interpretation and intent parsing
• DREAM - reflective synthesis and learning consolidation
• DEFENSE - threat detection, mitigation, and safety enforcement
• NEXUS - multi-provider AI routing and failover
• VISION - telemetry, health monitoring, and observability
• INTEGRATION - external system adapters and connectors
• SYSTEM - runtime governance, diagnostics, and recovery
• MODERNIZER - governed self-improvement and evolution planning
• INCLUSIVE - accessibility and human compatibility enforcement
• CORTEX - agency-class orchestration and system-level coordination

Included Documentation

This release also includes:

• Validation methodology and reproducibility criteria
• Performance benchmarks and scalability characteristics
• Live runtime evidence and operational logs
• Evolution lifecycle and autonomy control specifications
• Glossary and bibliographic references
• Licensing and usage considerations

Positioning & Scope

CMPSBL OS Substrate defines a substrate-class architecture for AI systems that require long-term persistence, safe self-improvement, and governed autonomy. It is intended for research, simulation, enterprise systems, defense applications, and cognitive infrastructure studies where reliability, transparency, and control are mandatory.

Licensing & Collaboration

CMPSBL OS Substrate is available for licensing to research institutions, universities, enterprise R&D groups, and computational cognition teams. Collaboration and acquisition discussions are welcome for organizations seeking to integrate cognitive operating system capabilities directly into their platforms.

Official Website: https://cmpsbl.com

Created by: Kenneth E. Sweet Jr (Linkedin)

Contact: PromptFluid@gmail.com