Multi-Axis Promotion Scoring

Problem

Naive promotion rules each fail in a recognisable way. Promoting whatever is most recent fills the long-term store with whatever the agent happened to think about yesterday. Promoting whatever has been said most often rewards rumination loops that repeat without ever deepening. Both rules miss the thoughts that have actually survived a deep reflection pass and proved themselves through consolidation. Without an explicit scoring scheme, promotion decisions drift with whatever the prompt of the day emphasises.

Solution

Six axes (frequency, relevance, diversity, recency, consolidation, conceptual). Each axis returns a value in 0..1 through a saturating curve. Total score is a weighted sum; weights sum to one and live in a config that is revisable through a documented decision. Append every score event to a JSONL metadata log (separate file from the thoughts) with event-type tags such as recall, grounding, dream-survival. Thoughts whose score crosses the promotion threshold are candidates; the deep consolidation pass makes the final call on what crosses to long-term.

When to use

• The agent has a tiered memory with explicit short-term and long-term stores.
• Promotion decisions must be defensible months later, not ad-hoc.
• Consolidation-pass infrastructure exists to do the final selection.