feat: memory scoring/decay (#5) + LRU search cache (#9)#18
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- ScoringStore: exponential decay score=base*0.5^(days/halfLife), clamped [minScore,1.0] - LruCache<T>: Map-based LRU with configurable maxSize/TTL, hit/miss stats - Integrated decay + cache into search() and searchWithPolicy() pipelines - HTTP: GET /scoring/scores, /scoring/summary, DELETE /cache, GET /cache/stats - MCP: get_chunk_score tool - config: added all new field defaults for all 5 feature branches Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This was referenced Jun 21, 2026
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Summary
ScoringStoreinsrc/memory/scoring.ts. Exponential decay formula:score = base * 0.5^(days/halfLifeDays), clamped[minScore, 1.0]. Integrated into bothsearch()andsearchWithPolicy()pipelines after feedback scoring. Config:DECAY_ENABLED,DECAY_HALF_LIFE_DAYS.LruCache<T>insrc/memory/cache.ts. Map-based LRU with configurablemaxSizeandttlMs. Search results cached by(query+k+filter+policy)hash key.DELETE /cacheto invalidate,GET /cache/statsfor hit rates. Config:SEARCH_CACHE_ENABLED,SEARCH_CACHE_SIZE,SEARCH_CACHE_TTL_MS.Note:
src/config.tsalso includes all config fields for the other feature PRs (#6/#10/#11/#12/#13/#15/#16/#17) to make them easy to review independently.Test plan
npm run typecheckpasses (clean)npm testpasses (80 existing + Scoring + Cache suites = 82+ tests)GET /scoring/scoresreturns per-note decay scoresGET /cache/statsshows hits/misses after repeated searchesCloses #5
Closes #9