Problem
All memory passes query the full stash regardless of abstraction level. Quick-shredder passes only need high-level patterns but scan raw session extractions too.
Proposed change
Organize the AKM stash into 5 semantic levels following the TiMem pattern:
- L1-L2: Raw session extractions and immediate facts
- L3-L4: Distilled patterns, recurring insights, project-specific knowledge
- L5: High-level user preferences and persistent behaviors
Quick-shredder passes query L3-L5 for triage relevance. Deep consolidation descends to L1-L2. Expected benefit: 40-60% reduction in per-pass retrieval token cost as most quick passes only need the high-abstraction layers.
Source
AKM Improve Pipeline Optimization Report 2026-06-12, Section 5J
Problem
All memory passes query the full stash regardless of abstraction level. Quick-shredder passes only need high-level patterns but scan raw session extractions too.
Proposed change
Organize the AKM stash into 5 semantic levels following the TiMem pattern:
Quick-shredder passes query L3-L5 for triage relevance. Deep consolidation descends to L1-L2. Expected benefit: 40-60% reduction in per-pass retrieval token cost as most quick passes only need the high-abstraction layers.
Source
AKM Improve Pipeline Optimization Report 2026-06-12, Section 5J