Evaluate stored memory relevance using scoring, recency, and importance metrics.
npx skills add https://github.com/emmahyde/memesis --skill health-emmahyde
Please help me install this Agent Skill. Skill: health Source: https://github.com/emmahyde/memesis/tree/main/skills/health Command: npx skills add https://github.com/emmahyde/memesis --skill health-emmahyde
This Skill helps users assess the current state of their memory store, highlighting memories that are fading, recently archived, or suitable for reactivation.
Ask the system to perform a memory relevance health check to identify fading, archived, or reactivatable memories.
High-intent search queries and answers about installing and using this skill.
Memory relevance monitoring evaluates the current health of stored memories by scoring recency and importance, identifying items approaching expiration or losing relevance so you can prioritize re-engagement.
Memory rehydration is the process of reactivating archived memories. You need it when stored context regains operational relevance, allowing the system to highlight suitable candidates for reactivation based on computed metrics.
To perform a memory health check, request the system to evaluate your memory store. It computes relevance scores and recency metrics to highlight fading memories and candidates for archival or reactivation.
Memory health monitoring supports large-scale context management by evaluating decay and highlighting archival candidates across the store, using relevance scoring and importance metrics to maintain an effective memory system.
The best way to decide between archiving or reactivating memories is to use computed relevance, recency, and importance metrics to evaluate decay, which highlights whether context should be archived or rehydrated.
Stored memory relevance decays because recency metrics and importance scores shift over time. Monitoring memory health tracks this decay, identifying when memories approach obsolescence and require archival or rehydration.
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