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OpenClaw

mnemon

Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.

grivn0 来源安装数☆ 0 仓库 Stars

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 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。

查看来源 ↗使用指南

技能说明

mnemon

Install & Configure

1. Install the binary

Homebrew (macOS / Linux):

brew install mnemon-dev/tap/mnemon

Go install:

go install github.com/mnemon-dev/mnemon@latest
2. Set up OpenClaw integration
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:

{
  "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
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...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/grivn/mnemon
Version
—
Commit
c66ad24b9fcd8357395aba71365a712128304a79
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
# 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...

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