memory-evolution
CommunityEvolve memories from usage to optimize recall.
Authornhadaututtheky
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyzes how memories are used in NeuralMemory and optimizes the memory graph by identifying hot, warm, cold, and dead memories, then proposing consolidation, pruning, or enrichment actions to improve recall efficiency and reliability.
Core Features & Use Cases
- Usage pattern discovery: detect hot/cold memories, and generate an actionable evolution plan.
- Bottleneck analysis: identify root causes like fragmentation, stale data, or missing reasoning, with a prioritized action list.
- Evolution actions: consolidate fragmented memories, enrich under-covered topics, prune stale data, and normalize tags to improve recall quality.
- Checkpointing & metrics: log decisions and measure recall improvements over cycles.
Quick Start
Run a full evolution cycle to analyze usage, identify bottlenecks, and propose consolidation, pruning, and enrichment actions.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: memory-evolution Download link: https://github.com/nhadaututtheky/neural-memory/archive/main.zip#memory-evolution Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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