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.

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🎯 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.

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🧠 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

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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

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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

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📁 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

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🚀 Quick Start

Step 1: Initialize Structure

Create the three directories in your workspace:

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/

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📝 Example: A Day in Three Dimensions

Scenario: Product Strategy Meeting

Dimension 1 - memory/2026-02-23.md:

# 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:

# 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/:

# 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)

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💡 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

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🔍 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.

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🌟 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.

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📄 Metadata

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

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