安全扫描（ClawHub）

• VirusTotal ：可疑
• OpenClaw ：良性

OpenClaw 评估

The skill's requested actions and files match its stated purpose (organizing AI memory into timeline, conversation backups, and topic folders), but it omits important privacy and retention safeguards when storing full conversation transcripts.

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「Three-Dimensional Memory」。简介：Manages AI assistant memory by organizing files across three dimensions: timeli…。
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/amlyx/three-dimensional-memory/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

# three-dimensional-memory

**Three-Dimensional Memory System for AI Assistants** — 人类思维方式的文件记忆管理

A memory management system that mirrors human cognition: organized by time, conversation, and topics.

---

## 🎯 Why This Skill?

Traditional file management organizes by file type (docs, images, videos). Humans don't think that way.

Humans remember:
- **When** it happened (time)
- **What was said** (conversation)  
- **What it was about** (topic)

This skill creates a three-dimensional memory space for AI assistants and their users.

---

## 🧠 The Three Dimensions

### Dimension 1: Timeline Memory
```
memory/
├── 2026-02-21.md    ← What happened today
├── 2026-02-22.md    ← What happened today
└── 2026-02-23.md    ← What happened today
```

**Purpose**: Daily work logs, chronological record of events  
**Update frequency**: Daily  
**Content**: Tasks completed, decisions made, meetings held

---

### Dimension 2: Conversation Stream
```
AI-memory-backup/
├── backup-20260221.md    ← Complete conversation transcript
├── backup-20260222.md    ← Complete conversation transcript
└── backup-20260223.md    ← Complete conversation transcript
```

**Purpose**: Full context preservation, searchable dialogue history  
**Update frequency**: Per conversation  
**Content**: Every word exchanged, including user messages and AI responses

---

### Dimension 3: Topic Network  
```
topic-memory/
├── project-product-launch/
│   ├── proposal-v1.md
│   ├── proposal-v2.md
│   └── final-version.md
│
├── decision-org-restructure/
│   ├── options-considered.md
│   ├── final-decision.md
│   └── implementation-plan.md
│
└── knowledge-market-analysis/
    ├── competitor-research.md
    └── trend-report.md
```

**Purpose**: Project-centric information aggregation  
**Update frequency**: As projects evolve  
**Content**: All documents, decisions, and knowledge related to a specific topic

---

## 📁 Recommended File Structure

```
workspace/
│
├── memory/                      ← Dimension 1: Timeline
│   ├── 2026-02-21.md
│   ├── 2026-02-22.md
│   └── 2026-02-23.md
│
├── AI-memory-backup/            ← Dimension 2: Conversation
│   ├── backup-20260221.md
│   ├── backup-20260222.md
│   └── backup-20260223.md
│
├── topic-memory/                ← Dimension 3: Topics
│   ├── project-[name]/
│   ├── decision-[name]/
│   ├── system-[name]/
│   └── knowledge-[name]/
│
├── skills/                      ← AI capabilities
│
├── MEMORY.md                    ← AI's long-term identity
├── SOUL.md                      ← AI's personality
└── USER.md                      ← User preferences
```

---

## 🚀 Quick Start

### Step 1: Initialize Structure

Create the three directories in your workspace:

```bash
mkdir -p memory
mkdir -p AI-memory-backup
mkdir -p topic-memory
```

### Step 2: Daily Workflow

**Every day**, the AI should:

1. **Write to `memory/YYYY-MM-DD.md`**
   - Summary of today's work
   - Decisions made
   - Tasks completed

2. **Backup conversation to `AI-memory-backup/backup-YYYYMMDD.md`**
   - Full transcript
   - Important context
   - User preferences learned

3. **Update relevant `topic-memory/` folders**
   - Add new documents to projects
   - Update decision records
   - Consolidate knowledge

### Step 3: Access Information

**Find by time**: "What did we do on Monday?" → Check `memory/`

**Find by context**: "What exactly did I say about pricing?" → Check `AI-memory-backup/`

**Find by topic**: "Where's the product launch plan?" → Check `topic-memory/project-product-launch/`

---

## 📝 Example: A Day in Three Dimensions

### Scenario: Product Strategy Meeting

**Dimension 1 - memory/2026-02-23.md**:
```markdown
# 2026-02-23 Work Log

## Morning
- Product strategy meeting with CEO
- Decided on three-tier pricing model
- Delayed launch by 2 weeks for additional testing

## Afternoon  
- Drafted pricing proposal
- Created financial projections
- Scheduled follow-up for tomorrow

## Decisions
- ✅ Adopt tiered pricing (Basic/Pro/Enterprise)
- ✅ Delay launch from March 1 → March 15
- ❌ Do not offer early-bird discounts
```

**Dimension 2 - AI-memory-backup/backup-20260223.md**:
```markdown
# Conversation Backup - 2026-02-23

## Product Pricing Discussion

User: "We need to decide on pricing today."

AI: "What are you considering?"

User: "I'm thinking three tiers: $29, $99, $299"

AI: "Have you considered the psychology of pricing? 
      $29 might signal 'cheap', $299 signals 'premium'."

User: "Good point. Let's go with $39, $99, $299"
[Full conversation continues...]
```

**Dimension 3 - topic-memory/project-product-launch/**:
```markdown
# Product Launch Project

## pricing-strategy.md (updated today)
Final decision: Three-tier model
- Starter: $39/month
- Professional: $99/month  
- Enterprise: $299/month

## timeline.md (updated today)
Launch date: March 15, 2026 (delayed from March 1)

## key-decisions.md
- Pricing tiers finalized (2026-02-23)
- Launch delayed for QA (2026-02-23)
```

---

## 💡 Best Practices

### For Users

1. **Review daily logs weekly** - Quick scan of what happened
2. **Search conversation backups** - Find exact quotes and context
3. **Use topic folders** - Navigate by project, not by file type
4. **Keep MEMORY.md updated** - AI's identity and your preferences

### For AI Assistants

1. **Update all three dimensions daily** - Don't skip any
2. **Be consistent with naming** - Use clear, searchable topic names
3. **Cross-reference** - Link between dimensions when relevant
4. **Maintain the index** - Keep a master index of active topics

---

## 🔍 Troubleshooting

**"I can't find a file"**
→ Check all three dimensions. If it's not in timeline or topic, search conversation backup.

**"There's duplicate information"**  
→ That's by design! Timeline shows when, topic shows what, conversation shows why.

**"The AI forgot what we discussed"**
→ Check AI-memory-backup/. The full context is there.

---

## 🌟 Why It Works

Traditional file management: **"Where did I save that document?"**

Three-dimensional memory: **"We discussed pricing in yesterday's meeting"** → Check `memory/2026-02-23.md` → Find reference to `topic-memory/project-pricing/` → Open latest version

**Result**: Find files in 10 seconds instead of 5 minutes.

---

## 📄 Metadata

- **Author**: @openclaw-user  
- **Created**: 2026-02-23
- **Version**: 1.0.0
- **License**: MIT
- **Tags**: memory, organization, productivity, workflow

---

*"The best file system is the one you don't have to think about."*