Memory Prism is a structural framework that reorganizes knowledge across disciplines using constraint-based principles.
It focuses on persistence, thresholds, energy budgets, variance, disturbance, and nested constraint regimes across scales — from atoms to ecosystems to planets.
It is a classification and explanatory lens, not a predictive model.
No.
Memory Prism does not propose new laws of physics, biology, or geology. It does not replace existing scientific disciplines.
It reorganizes established knowledge around structural principles that operate across scales.
No.
Disciplines provide depth, data, and predictive power.
Memory Prism provides a structural abstraction layer that helps organize cross-domain patterns.
It complements expertise; it does not substitute it.
No.
Memory Prism is explanatory and organizational.
Prediction belongs to domain experts, quantitative models, and empirical research.
This framework helps clarify constraint regimes and structural relationships; it does not forecast outcomes.
A board is a persistent structured configuration operating under dominant constraints and possessing operational thresholds.
Boards exist wherever stable configurations form — atoms, rocks, rivers, ecosystems, planets.
Boards are stable only while dominant constraints remain continuous.
The term emphasizes operational constraint regimes rather than descriptive surroundings.
A board is not scenery.
It is a constraint lab where persistence must meet thresholds.
There is overlap.
However, Memory Prism specifically emphasizes:
Constraint dominance
Maintenance-to-intake ratios
Variance amplification
Configuration-space narrowing (hardening)
Exit strategies
Nested persistence regimes
It focuses on material persistence under constraint rather than abstract system diagrams.
It is structural.
Memory Prism deals with material configurations, energy flows, thresholds, and constraint regimes. It does not rely on metaphysics or mysticism.
No.
It identifies recurring structural patterns across scales. It does not claim to solve every scientific question.
Its value lies in organizing complexity, not eliminating it.
Because bound states, thresholds, and constraint regimes exist at every scale.
Once stable structure forms, it operates under constraints and becomes subject to transition thresholds.
The framework tracks this structural continuity.
All boards are conditionally stable.
Stability persists only while dominant constraints remain continuous.
There is no permanence — only persistence under current constraint regimes.
Memory Prism was developed through extended inquiry in collaboration with AI.
AI assisted with synthesis, reconstruction, and structural refinement. The framework remains independently maintained.
No.
Memory Prism is released under a non-commercial license. Commercial use requires explicit consent.
See the License page for full details.
Yes.
Like any structure operating under constraint, it may refine over time as new questions arise or clarity improves.
Stable for now.