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The skill's instructions match its stated purpose of configuring persistent memory, but there are inconsistencies (undeclared API keys mentioned in the docs and a metadata owner-id mismatch) and privacy/operational risks (indexing session transcripts, editing user config, restarting the gateway) you should be aware of before installing.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Chen Memory Setup」。简介：Enable and configure Moltbot/Clawdbot memory search for persistent context. Use…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/cs995279497-byte/chen-memory-setup/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
name: chen-memory-setup
description: Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
---

# Memory Setup Skill

Transform your agent from goldfish to elephant. This skill helps configure persistent memory for Moltbot/Clawdbot.

## Quick Setup

### 1. Enable Memory Search in Config

Add to `~/.clawdbot/clawdbot.json` (or `moltbot.json`):

```json
{
  "memorySearch": {
    "enabled": true,
    "provider": "voyage",
    "sources": ["memory", "sessions"],
    "indexMode": "hot",
    "minScore": 0.3,
    "maxResults": 20
  }
}
```

### 2. Create Memory Structure

In your workspace, create:

```
workspace/
├── MEMORY.md              # Long-term curated memory
└── memory/
    ├── logs/              # Daily logs (YYYY-MM-DD.md)
    ├── projects/          # Project-specific context
    ├── groups/            # Group chat context
    └── system/            # Preferences, setup notes
```

### 3. Initialize MEMORY.md

Create `MEMORY.md` in workspace root:

```markdown
# MEMORY.md — Long-Term Memory

## About [User Name]
- Key facts, preferences, context

## Active Projects
- Project summaries and status

## Decisions & Lessons
- Important choices made
- Lessons learned

## Preferences
- Communication style
- Tools and workflows
```

## Config Options Explained

| Setting | Purpose | Recommended |
|---------|---------|-------------|
| `enabled` | Turn on memory search | `true` |
| `provider` | Embedding provider | `"voyage"` |
| `sources` | What to index | `["memory", "sessions"]` |
| `indexMode` | When to index | `"hot"` (real-time) |
| `minScore` | Relevance threshold | `0.3` (lower = more results) |
| `maxResults` | Max snippets returned | `20` |

### Provider Options
- `voyage` — Voyage AI embeddings (recommended)
- `openai` — OpenAI embeddings
- `local` — Local embeddings (no API needed)

### Source Options
- `memory` — MEMORY.md + memory/*.md files
- `sessions` — Past conversation transcripts
- `both` — Full context (recommended)

## Daily Log Format

Create `memory/logs/YYYY-MM-DD.md` daily:

```markdown
# YYYY-MM-DD — Daily Log

## [Time] — [Event/Task]
- What happened
- Decisions made
- Follow-ups needed

## [Time] — [Another Event]
- Details
```

## Agent Instructions (AGENTS.md)

Add to your AGENTS.md for agent behavior:

```markdown
## Memory Recall
Before answering questions about prior work, decisions, dates, people, preferences, or todos:
1. Run memory_search with relevant query
2. Use memory_get to pull specific lines if needed
3. If low confidence after search, say you checked
```

## Troubleshooting

### Memory search not working?
1. Check `memorySearch.enabled: true` in config
2. Verify MEMORY.md exists in workspace root
3. Restart gateway: `clawdbot gateway restart`

### Results not relevant?
- Lower `minScore` to `0.2` for more results
- Increase `maxResults` to `30`
- Check that memory files have meaningful content

### Provider errors?
- Voyage: Set `VOYAGE_API_KEY` in environment
- OpenAI: Set `OPENAI_API_KEY` in environment
- Use `local` provider if no API keys available

## Verification

Test memory is working:

```
User: "What do you remember about [past topic]?"
Agent: [Should search memory and return relevant context]
```

If agent has no memory, config isn't applied. Restart gateway.

## Full Config Example

```json
{
  "memorySearch": {
    "enabled": true,
    "provider": "voyage",
    "sources": ["memory", "sessions"],
    "indexMode": "hot",
    "minScore": 0.3,
    "maxResults": 20
  },
  "workspace": "/path/to/your/workspace"
}
```

## Why This Matters

Without memory:
- Agent forgets everything between sessions
- Repeats questions, loses context
- No continuity on projects

With memory:
- Recalls past conversations
- Knows your preferences
- Tracks project history
- Builds relationship over time

Goldfish → Elephant. 🐘