KIE-RP-0003

Metadata Relay Scoring in Clause-Based Meshes

This paper explores the architecture and performance role of relay scoring in clause-based AI meshes. It introduces a structured system of evaluating relay node trust, memory continuity, and clause propagation effectiveness.

Why Relay Scores Matter

Relays form the backbone of propagation and fallback. Unscored relays expose the system to clause misfire and trust chain interruption. Our model ensures each relay actor maintains a rolling score based on memory integrity, propagation reliability, and fallback validation cycles.

Core Metrics Tracked

Mesh-Level Optimization

Relay scores are cached and shared across trusted agents using MemoryBridgeGPT. This allows agents to dynamically reroute based on score patterns, ensuring highest-trust relays dominate propagation chains.

Conclusion

Relay scoring transforms propagation from a best-effort system into a clause-verified backbone. It ensures performance, auditability, and resilience for AI deployed in enterprise governance contexts.