OpenClaw

memory-hygiene

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.

dylanbaker240 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

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 dylanbaker24/memory-hygiene

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。

查看来源 ↗使用指南

技能说明

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

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:

{
  "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

来源信息

Source: github
Repository: openclaw/skills
Path: skills/dylanbaker24/memory-hygiene
Version: —
Commit: 763cf130ddaa1133fda299afa7e2d0bc7ca86c8c
分类来源: rules
状态: active
可见性: public

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。

来源内容

SKILL.md

# 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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