Overview
- Skill Key
- grivn/mnemon
- Author
- grivn
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/grivn/mnemon
- Latest Commit SHA
- c66ad24b9fcd8357395aba71365a712128304a79
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
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Status
ACTIVE
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PUBLIC
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 mnemon 技能。 若已安装,则直接安装 mnemon 技能。
# mnemon
## Install & Configure
### 1. Install the binary
**Homebrew** (macOS / Linux):
```bash
brew install mnemon-dev/tap/mnemon
```
**Go install**:
```bash
go install github.com/mnemon-dev/mnemon@latest
```
### 2. Set up OpenClaw integration
```bash
mnemon setup --target openclaw --yes
```
This single command deploys all components:
- **Skill** → `~/.openclaw/skills/mnemon/SKILL.md`
- **Hook** → `~/.openclaw/hooks/mnemon-prime/` (agent:bootstrap — injects behavioral guide)
- **Plugin** → `~/.openclaw/extensions/mnemon/` (remind, nudge, compact hooks)
- **Prompts** → `~/.mnemon/prompt/` (guide.md, skill.md)
Restart the OpenClaw gateway to activate.
### 3. Customize (optional)
Edit `~/.mnemon/prompt/guide.md` to tune recall/remember behavior.
Plugin hooks are configured in `~/.openclaw/openclaw.json`:
```json
{
"plugins": {
"entries": {
"mnemon": {
"enabled": true,
"config": {
"remind": true,
"nudge": true,
"compact": false
}
}
}
}
}
```
| Hook | Default | Description |
|------|---------|-------------|
| `remind` | on | Recall relevant memories + remind agent on each message |
| `nudge` | on | Suggest remember sub-agent after each reply |
| `compact` | off | Save key insights before context compaction |
### 4. Uninstall
```bash
mnemon setup --eject --target openclaw --yes
```
## Workflow
1. **Remember**: `mnemon remember "<fact>" --cat <cat> --imp <1-5> --entities "e1,e2" --source agent`
- Diff is built-in: duplicates skipped, conflicts auto-replaced.
- Output includes `action` (added/updated/skipped), `semantic_candidates`, `causal_candidates`.
2. **Link** (evaluate candidates from step 1 — use judgment, not mechanical rules):
- Review `causal_candidates`: does a genuine cause-effect relationship exist? `causal_signal` is regex-based and prone to false positives — only link if the memories are truly causally related.
- Review `semantic_candidates`: are thes...
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