Best use case
Pidan Memory Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
本地持久化向量记忆系统,为 AI Assistant 提供长期记忆能力。支持多用户/共享模式。
Teams using Pidan Memory Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pidan-memory/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Pidan Memory Skill Compares
| Feature / Agent | Pidan Memory Skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
本地持久化向量记忆系统,为 AI Assistant 提供长期记忆能力。支持多用户/共享模式。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Pidan Memory Skill
本地持久化向量记忆系统,为 AI Assistant 提供长期记忆能力。支持多用户/共享模式。
## 概述
基于 **LanceDB + Ollama** 实现的本地向量记忆系统,支持语义搜索和多用户隔离。
## 架构
```
用户输入 → Ollama (向量化) → LanceDB (存储/搜索)
↑
nomic-embed-text (768维向量)
```
## 功能
### 1. 自动记忆(推荐)
**安装 Hook 后自动生效,无需手动调用!**
每次对话后自动评估并存储重要信息,覆盖 16 大类场景。
**安装方式:**
```bash
# 1. 复制文件
mkdir -p ~/.openclaw/hooks/pidan-memory
cp HOOK.md handler.ts ~/.openclaw/hooks/pidan-memory/
cp auto_memory.py ~/.openclaw/workspace/memory/
# 2. 启用
openclaw hooks enable pidan-memory
openclaw gateway restart
```
### 2. 记住信息 (remember)
手动存储重要信息到向量数据库
**参数:**
- `content`: 记忆内容 (必填)
- `summary`: 摘要 (可选)
- `importance`: 重要程度 1-5 (默认 3)
- `user_id`: 用户 ID (默认 default)
**示例:**
```json
{
"command": "remember",
"parameters": {
"content": "用户最喜欢吃火锅",
"summary": "饮食偏好",
"importance": 4,
"user_id": "default"
}
}
```
### 3. 搜索记忆 (recall)
语义向量搜索
**参数:**
- `query`: 搜索关键词
- `limit`: 返回数量 (默认 5)
- `user_id`: 用户 ID
### 4. 获取最近记忆 (recent_memories)
获取用户的有权限访问的记忆
### 5. 模式管理
#### 获取当前模式 (get_mode)
```json
{
"command": "get_mode",
"parameters": {}
}
```
#### 设置模式 (set_mode)
```json
{
"command": "set_mode",
"parameters": {
"mode": "private" // 或 "shared"
}
}
```
**模式说明:**
- `private`: 多用户模式(默认),每个用户记忆独立隔离
- `shared`: 共享模式,所有用户可互相查询共享记忆
### 6. 删除记忆 (delete_memory)
删除记忆(需二次确认,只有创建人可删除)
**参数:**
- `memory_id`: 记忆 ID (必填)
- `confirm`: 是否确认删除 (默认 false)
**首次请求(获取确认):**
```json
{
"command": "delete_memory",
"parameters": {
"memory_id": "uuid-xxx",
"confirm": false
}
}
```
**确认删除:**
```json
{
"command": "delete_memory",
"parameters": {
"memory_id": "uuid-xxx",
"confirm": true
}
}
```
**权限规则:**
- ✅ 创建人本人可以删除
- ❌ 非创建人无法删除
- ⚠️ 删除前必须二次确认
### 7. 共享记忆 (share_memory)
将记忆共享给指定用户(只有创建人可以共享)
**参数:**
- `memory_id`: 记忆 ID (必填)
- `visible_to`: 可见用户列表 (默认 []) - 空=私有
- `user_id`: 请求者 ID (用于权限校验)
**示例 - 共享给指定用户:**
```json
{
"command": "share_memory",
"parameters": {
"memory_id": "uuid-xxx",
"visible_to": ["user_a", "user_b"],
"user_id": "default"
}
}
```
**示例 - 取消共享(设为私有):**
```json
{
"command": "share_memory",
"parameters": {
"memory_id": "uuid-xxx",
"visible_to": [],
"user_id": "default"
}
}
```
**权限规则:**
- ✅ 创建人本人可以共享
- ❌ 非创建人无法共享
- ⚠️ visible_to 为空时 = 私有模式
### 8. 列表记忆 (list_memories)
列出用户有权限访问的所有记忆
### 8. 手动去重 (deduplicate)
手动触发去重(每 20 条自动触发)
### 9. 统计 (stats)
获取记忆统计信息
## 配置
配置文件:`~/.openclaw/workspace/memory/config.yaml`
```yaml
memory:
mode: private # private | shared
deduplicate_after: 20 # 每N条自动去重
```
或通过环境变量:
```bash
MEMORY_MODE=private
MEMORY_DEDUP_AFTER=20
```
## 存储位置
```
~/.openclaw/workspace/memory/lance/ # LanceDB 数据
```
## 技术栈
| 组件 | 作用 |
|------|------|
| LanceDB | 向量存储/搜索 |
| Ollama | 本地 embedding 模型 |
| nomic-embed-text | 768维向量 |
## CLI 测试
```bash
# 添加记忆
echo '{"command": "remember", "parameters": {"content": "测试"}}' | python3 run.py
# 搜索
echo '{"command": "recall", "parameters": {"query": "测试"}}' | python3 run.py
# 获取模式
echo '{"command": "get_mode", "parameters": {}}' | python3 run.py
# 设置模式
echo '{"command": "set_mode", "parameters": {"mode": "shared"}}' | python3 run.py
# 删除记忆(首次)
echo '{"command": "delete_memory", "parameters": {"memory_id": "xxx"}}' | python3 run.py
```
## 安全说明
### 用户身份验证
所有命令通过 **环境变量 `OPENCLAW_USER_ID`** 获取真实用户ID,防止伪造:
```bash
# 设置用户ID
export OPENCLAW_USER_ID=your_user_id
python3 run.py ...
```
### 权限控制
- **删除/共享记忆**:只有创建人可以操作
- **查询记忆**:根据模式(private/shared)决定访问权限
- **参数中的 user_id**:无效,必须通过环境变量
### Hook 模式
通过 Hook 自动触发时,用户ID由平台传递( DingTalk openid 等),自动注入环境变量。
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