Research-Stack/6-Documentation/tiddlywiki-local/wiki/tiddlers/ENe Cognitive Refactor Plan.tid
Brandon Schneider 5ad2e7f8bb ingest: dair-ai Agentic Engineering Wiki (51 tips, 7 categories)
Cross-referenced against our prover orchestration layers:
- Plan-Execute-Verify-Replan ↔ L0-L3 pipeline
- Agents as specialists ↔ 11-agent swarm
- Guardrails ↔ ProverWatchdog
- Sandbox testing ↔ Virtual FPGA tests
- Trajectory-aware eval ↔ BFS audit trail

5 gaps identified, 4 strengths confirmed
2026-05-07 00:27:02 -05:00

9 lines
994 B
Text
Raw Permalink Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

created: 20260507000000000
modified: 20260507000000000
tags: ResearchStack Infrastructure Planning
title: ENe Cognitive Refactor Plan
type: text/vnd.tiddlywiki
! ENe Cognitive Refactor Plan
The ENE Cognitive Refactoring Plan (`4-Infrastructure/infra/ene_cognitive_refactor_plan.md`) is a 14-week implementation roadmap to integrate Cognitive Physics equations into the ENE infrastructure. Phases: (1) Instrumentation — ENELoadMonitor with 8-component load tracking, (2) Adaptive Cache — gap-based TTL replacing fixed expiry, (3) Semantic Compression — fidelity-gated Metafoam+GCL compression, (4) Prime Concept Vectors — learned 64×14 matrix replacing heuristic keyword vectors, (5) Security Invariants — severity-gated invariant checking, (6) HNSW + Shell Partition — O(log N) vector search + PIST-based page bucketing, (7) Extremophile Constraints + Multi-Language — constraint gating + language-aware compression. Full file map and guardrails included in the plan document.