mem-record

What problem does it solve?

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).

Core Features & Use Cases

• Automatic extraction: Pulls events, decisions, preferences, emotions, and actions from conversations.
• Layered storage: Routes insights to L1_情境层, L2_行为层, and L3_认知层, with prompts for L4核心层 when needed.
• Pattern detection: Detects repeated motifs to suggest higher-level summaries.
• Traceability: Keeps timestamps and sources for later review and analytics.

Quick Start

Initiate by saying 记录到记忆系统 to trigger extraction and layering of the current dialogue into the memory hierarchy.