Overview
- Skill Key
- forvendettaw/three-tier-memory
- Author
- forvendettaw
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/forvendettaw/three-tier-memory
- Latest Commit SHA
- 972264246a203c4f3a54d8b50e3dfb52efa1827e
Official OpenClaw
rules
15%
three-tier-memory
三级记忆管理系统 (Three-Tier Memory)。短期记忆滑动窗口 + 中期记忆自动摘要(LLM) + 长期记忆向量检索(RAG)。当需要管理对话历史、自动摘要、语义检索、构建个人知识库时使用此 Skill。
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Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 three-tier-memory 技能。 若已安装，则直接安装 three-tier-memory 技能。
Extracted Content
SKILL.md excerpt
# Three-Tier Memory Manager
AI 代理的三级记忆管理系统：短期、中期、长期记忆自动管理。
## 架构
| 层级 | 存储 | 触发 | 容量 |
|------|------|------|------|
| 短期 | sliding-window.json | 实时/FIFO | 10条 |
| 中期 | summaries/ | Token阈值/摘要 | 无限 |
| 长期 | vector-store/ | 语义检索 | 无限 |
## 快速开始
```bash
# 初始化
python3 scripts/memory_manager.py init
# 添加记忆
python3 scripts/memory_manager.py add --type short --content "用户喜欢黑色"
python3 scripts/memory_manager.py add --type long --content "用户的邮箱是 lei@example.com"
# 搜索
python3 scripts/memory_manager.py search "用户的偏好"
# 手动摘要
python3 scripts/memory_manager.py summary
# 查看状态
python3 scripts/memory_manager.py status
```
## Hook 集成 (Auto)
已集成 OpenClaw Hook，会话结束自动保存记忆：
```bash
# Hook 已启用
openclaw hooks enable memory-manager-hook
```
事件：
- `session:end` → 自动保存对话
- 窗口满 → 自动触发摘要
## 依赖
```bash
# 向量检索 (可选)
pip install chromadb
```
## 配置
`memory/config.json`:
```json
{
"memory": {
"short_term": {"window_size": 10},
"medium_term": {"summary_threshold": 4000},
"long_term": {"top_k": 3}
}
}
```
## 完整命令
See [references.md](references/references.md)
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