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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install grivn/mnemonInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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...These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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...
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