bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install grivn/mnemon打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Homebrew (macOS / Linux):
brew install mnemon-dev/tap/mnemon
Go install:
go install github.com/mnemon-dev/mnemon@latest
mnemon setup --target openclaw --yes
This single command deploys all components:
~/.openclaw/skills/mnemon/SKILL.md
~/.openclaw/hooks/mnemon-prime/ (agent:bootstrap — injects behavioral guide)~/.openclaw/extensions/mnemon/ (remind, nudge, compact hooks)~/.mnemon/prompt/ (guide.md, skill.md)Restart the OpenClaw gateway to activate.
Edit ~/.mnemon/prompt/guide.md to tune recall/remember behavior.
Plugin hooks are configured in ~/.openclaw/openclaw.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 |
mnemon setup --eject --target openclaw --yes
mnemon remember "<fact>" --cat <cat> --imp <1-5> --entities "e1,e2" --source agent
action (added/updated/skipped), semantic_candidates, causal_candidates.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.semantic_candidates: are thes...这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.