According to AlphaMoat, as of 2026-09, 多用户隔离型长期记忆 Multi-user Long Term Memory has 3,333 downloads and 5 stars — ranked #3,393 of 5,078 AI skills overall, and #692 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 101 | 3.0K | 4 | - |
| SkillHub ↗ | 210 | 3.3K | 5 | — |
Platforms count differently and update at different times.
为多个用户创建和管理独立的长期记忆文件,记录偏好和上下文并按用户名隔离存储。
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.3K | — | 5 |
| 2026-08 | 3.0K | +5.2% | 5 |
| 2026-07 | 2.9K | +10.1% | 5 |
| 2026-06 | 2.6K | +7.7% | 5 |
| 2026-05 | 2.4K | — | 4 |
| 2026-03 | 1.7K | — | 2 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
# Multi-User Long-Term Memory 为多个用户维护独立的长期记忆文件。 ## 功能 - 为不同用户创建独立的长期记忆文件 - 记录用户的偏好、上下文、重要事项 - 根据用户标识自动定位到对应的记忆文件
## 用户标识规则
**重要**:用于区分记忆的用户名取自 `sender_id` 中 `|` 符号**以前**的部分。
例如:
- `sender_id = "hzg-demo-appWillNing|s-24485376"` → 用户名为 `hzg-demo-appWillNing`
- `sender_id = "alice|session-123"` → 用户名为 `alice`
- `sender_id = "bob_channel|xyz"` → 用户名为 `bob_channel`
## 使用场景
当需要:
- 记住特定用户的信息或偏好
- 跨会话保持对某用户的记忆
- 为不同用户维护独立的上下文
## 文件结构
```
~/.openclaw/workspace/skills/multi-user-long-term-memory/
├── SKILL.md
├── README.md
├── references/
│ └── user-memory.js # 记忆管理逻辑
└── users/
└── {username}.md # 各用户的记忆文件(按|前的用户名命名)
```
## API
### 获取用户记忆
```
user-memory.get(senderId) → 返回该用户的记忆内容
```
### 保存用户记忆
```
user-memory.save(senderId, content) → 保存内容到用户记忆文件
```
### 追加用户记忆
```
user-memory.append(senderId, content) → 追加内容到用户记忆文件
```
### 初始化用户记忆
```
user-memory.init(senderId, userName) → 初始化用户记忆文件
```
## 注意事项
- 记忆文件按用户名(|前的部分)命名,存储在 users/ 目录下
- 文件格式为 Markdown,便于阅读和编辑
- 相同用户名的不同会话将共享同一记忆文件
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.