three-dimensional-memory
// **Three-Dimensional Memory System for AI Assistants** — 人类思维方式的文件记忆管理
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:
mkdir -p memory
mkdir -p AI-memory-backup
mkdir -p topic-memory
Step 2: Daily Workflow
Every day, the AI should:
-
Write to
memory/YYYY-MM-DD.md- Summary of today's work
- Decisions made
- Tasks completed
-
Backup conversation to
AI-memory-backup/backup-YYYYMMDD.md- Full transcript
- Important context
- User preferences learned
-
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:
# 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)
💡 Best Practices
For Users
- Review daily logs weekly - Quick scan of what happened
- Search conversation backups - Find exact quotes and context
- Use topic folders - Navigate by project, not by file type
- Keep MEMORY.md updated - AI's identity and your preferences
For AI Assistants
- Update all three dimensions daily - Don't skip any
- Be consistent with naming - Use clear, searchable topic names
- Cross-reference - Link between dimensions when relevant
- 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."