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技能集市 > AI智能 > four-layer-memory
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四层记忆

技能标识：four-layer-memory

四层记忆架构。身份层、工作记忆层、短期日志层、长期存储层分层管理，让记忆既可持续累积，又不会把上下文一次性塞满。

作者：admin | 来源记录：ClawHub
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V 1.0.1
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来源与检测标记为平台登记信息，并不代表已展示可复核的检测报告。使用前请核对版本、依赖和所需权限，建议先在隔离环境中运行。
概述
安装方式
版本历史

四层记忆

四层记忆

分层定义

  1. 1. 身份层：人格锚点、核心身份、长期不变偏好
  2. 工作记忆层：当前任务、近期关注、热记忆
  3. 短期日志层：每日记录、近期会话、完整回溯
  4. 长期存储层：经确认的偏好、知识、关系和经验

使用原则

  • - 稳定信息存入 identity/ 或 long-term-memory/
  • 临时任务存入 working-memory/
  • 每日会话存入 short-term-logs/
  • 过期日志转入 archive/

推荐命令

bash
python3 scripts/personalaimemory.py status
python3 scripts/personalaimemory.py bootstrap
python3 scripts/personalaimemory.py archive --keep-days 14

标签

skill ai

通过对话安装

以下为平台配置的接入选项，并非逐项实测通过。能否安装取决于客户端支持、技能来源和运行环境：

OpenClaw WorkBuddy QClaw Kimi Claude

方式一：安装 SkillHub 和技能

帮我安装 SkillHub 和 four-layer-memory-1775920388 技能

方式二：设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源，然后帮我安装 four-layer-memory-1775920388 技能

通过命令行安装

skillhub install four-layer-memory-1775920388

下载

⬇ 下载 four-layer-memory v1.0.1（免费）

文件大小: 1.22 KB | 发布时间: 2026-4-12 10:01

v1.0.1 最新 2026-4-12 10:01
Sync local workspace skills into ClawHub tracking from the current OpenClaw workspace.

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