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.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install grivn/mnemonExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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...Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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.