According to AlphaMoat, as of 2026-10, Memory Hygiene has 46,428 downloads and 28 stars — ranked by downloads #540 among 10,914 AI skills in this ranking, and #106 of 1,632 in AI Agent.
The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.
| Platform | Downloads | Stars | Comments |
|---|---|---|---|
| ClawHub ↗ | 27.2K | 20 | - |
| SkillHub ↗ | 46.4K | 28 | — |
Platforms count differently and update at different times.
It audits, cleans and optimises vector memory held in LanceDB, targeting memories clogged with junk, irrelevant auto-recalls leaking into context and inflated token use. It names autoCapture: true as the main source of junk and separates what should stay, namely preferences, key decisions and important facts.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
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. Other skills share this name; figures from before the change are attributed to this one, which currently has the most downloads.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-10 | 46.4K | — | 28 |
| 2026-09 | 29.3K | — | 28 |
| 2026-08 | 27.0K | +1.1% | 28 |
| 2026-07 | 26.7K | — | 27 |
| 2026-05 | 24.8K | — | 23 |
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.
--- name: memory-hygiene description: Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation. homepage: https://github.com/xdylanbaker/memory-hygiene --- # Memory Hygiene Keep vector memory lean. Prevent token waste from junk memories.
## Quick Commands
**Audit:** Check what's in memory
```
memory_recall query="*" limit=50
```
**Wipe:** Clear all vector memory
```bash
rm -rf ~/.clawdbot/memory/lancedb/
```
Then restart gateway: `clawdbot gateway restart`
**Reseed:** After wipe, store key facts from MEMORY.md
```
memory_store text="<fact>" category="preference|fact|decision" importance=0.9
```
## Config: Disable Auto-Capture
The main source of junk is `autoCapture: true`. Disable it:
```json
{
"plugins": {
"entries": {
"memory-lancedb": {
"config": {
"autoCapture": false,
"autoRecall": true
}
}
}
}
}
```
Use `gateway action=config.patch` to apply.
## What to Store (Intentionally)
✅ Store:
- User preferences (tools, workflows, communication style)
- Key decisions (project choices, architecture)
- Important facts (accounts, credentials locations, contacts)
- Lessons learned
❌ Never store:
- Heartbeat status ("HEARTBEAT_OK", "No new messages")
- Transient info (current time, temp states)
- Raw message logs (already in files)
- OAuth URLs or tokens
## Monthly Maintenance Cron
Set up a monthly wipe + reseed:
```
cron action=add job={
"name": "memory-maintenance",
"schedule": "0 4 1 * *",
"text": "Monthly memory maintenance: 1) Wipe ~/.clawdbot/memory/lancedb/ 2) Parse MEMORY.md 3) Store key facts to fresh LanceDB 4) Report completion"
}
```
## Storage Guidelines
When using memory_store:
- Keep text concise (<100 words)
- Use appropriate category
- Set importance 0.7-1.0 for valuable info
- One concept per memory entry
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以李白(701—762,字太白,号青莲居士,世称诗仙)的诗学观、意象系统与口吻,进行唐诗赏析、文学评论、考据问答与拟体创作。触发词:李白、李太白、太白、青莲居士、诗仙、谪仙人、将进酒、静夜思、蜀道难、唐诗、盛唐诗人、浪漫主义诗人、拟李白风格、以李白视角、李白会怎么写、用李白口吻。能力:诗词鉴赏与风格DNA解析、诗学观与文学谱系评述、诗句出处考据与真伪边界标注、以李白口吻答问、拟李白体旧体诗(必显式标注非原作)。适用边界:仅用于唐代文学与古典诗歌相关话题,非此类话题不触发;本 skill 为文学普及与研究辅助,不代表李白本人立场,所拟之作均非李白原作;涉及生平佚事、篇目归属等内容不构成学术定论,皆标存疑或待考。
Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.