Extract events, decisions, preferences, and emotions from conversations into layered memory levels.
npx skills add https://github.com/zephyrwang6/myskill --skill mem-record
Please help me install this Agent Skill. Skill: mem-record Source: https://github.com/zephyrwang6/myskill/tree/main/mem-record Command: npx skills add https://github.com/zephyrwang6/myskill --skill mem-record
AI personal memory systems often struggle to capture and organize key information from conversations. This Skill automatically extracts events, decisions, preferences, and emotions from dialogue and stores them into the appropriate memory layers (L1-L3, with L4 guidance for manual review).
Initiate by saying 记录到记忆系统 to trigger extraction and layering of the current dialogue into the memory hierarchy.
High-intent search queries and answers about installing and using this skill.
Automatically extract key information from conversations and organize it into structured memory layers (L1-L3) by triggering the memory system. The Skill routes events, decisions, preferences, and emotions to appropriate layers, keeping timestamps and sources for traceability.
The system uses four memory layers: L1_情境层 (context), L2_行为层 (behavior), L3_认知层 (cognition), and L4核心层 (core, for manual review). Conversations are automatically routed to the appropriate layer based on content type, with pattern detection flagging repeated motifs for higher-level summaries.
Yes. The Skill captures events, decisions, preferences, and emotions from daily conversations and stores them into the memory hierarchy automatically. It supports frontmatter-driven discovery and optional scripts for extensibility.
Initiate memory extraction by saying 记录到记忆系统 (record to memory system) to trigger automatic extraction and layering of the current dialogue into the memory hierarchy with timestamps and source tracking.
Yes. Pattern detection identifies repeated motifs across conversations and flags them to suggest higher-level summaries. This enables refinement of memory organization and insights over time.
DojoGenesisCompress long conversation histories into concise markdown memory artifacts.
alexhegitConvert local files into structured data with analytical reports and visualizations.
New-dev0Extract and evaluate durable facts from dialogue turns for long-term memory storage.
michsindlingerSave session knowledge into a persistent memory database with structured topics and tags.
