An AI Runtime layered memory system that supports SQL-style event querying, timeline management, and intelligent memory solidification and retrieval, used for project history tracking and experience inheritance.
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The exact command may vary by repository. Check the README on GitHub.
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Use this skill for any task involving spreadsheet files as primary input or output, such as opening, reading, editing, fixing, creating, or converting .xlsx, .xlsm, .csv, or .tsv files.
This skill explains how claude-mem captures observations, when memory injection occurs, and where its data is stored.
Searches claude-mem's persistent cross-session memory database. Use this to answer questions about previous solutions or retrieve work from past sessions.
Generates a week-by-week narrative digest of a project's Claude-mem timeline, splitting it into ISO-week files and using subagents to produce weekly chapters. Ideal for "weekly digests" or "narrative chapters" of a project's history.
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AI Runtime的记忆系统采用分层架构，模拟人类大脑的记忆机制，实现持续存在和认知主体性。系统分为三个层次，通过专门的工具支持SQL风格查询和智能管理。
# 进入记忆系统目录
cd .ai-runtime/memory
# 查看今天的事件
python3 memory_cli.py query --where "date='$(date +%Y-%m-%d)'"
# 查看架构决策
python3 memory_cli.py query --where "tags CONTAINS 'architec
[Description truncada. Veja o README completo no GitHub.]