# Send Three-Dimensional Memory to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "three-dimensional-memory", "name": "Three-Dimensional Memory", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/amlyx/three-dimensional-memory", "canonicalUrl": "https://clawhub.ai/amlyx/three-dimensional-memory", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/three-dimensional-memory", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=three-dimensional-memory", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "README.md", "SKILL.md", "_meta.json", "examples/daily-workflow.sh", "examples/one-week-example.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "three-dimensional-memory", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-04T04:02:21.163Z", "expiresAt": "2026-05-11T04:02:21.163Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=three-dimensional-memory", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=three-dimensional-memory", "contentDisposition": "attachment; filename=\"three-dimensional-memory-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "three-dimensional-memory" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/three-dimensional-memory" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/three-dimensional-memory", "downloadUrl": "https://openagent3.xyz/downloads/three-dimensional-memory", "agentUrl": "https://openagent3.xyz/skills/three-dimensional-memory/agent", "manifestUrl": "https://openagent3.xyz/skills/three-dimensional-memory/agent.json", "briefUrl": "https://openagent3.xyz/skills/three-dimensional-memory/agent.md" } } ``` ## Documentation ### 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. ### 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 ### 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/ ### 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) ### 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." ## Trust - Source: tencent - Verification: Indexed source record - Publisher: amlyx - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-04T04:02:21.163Z - Expires at: 2026-05-11T04:02:21.163Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/three-dimensional-memory) - [Send to Agent page](https://openagent3.xyz/skills/three-dimensional-memory/agent) - [JSON manifest](https://openagent3.xyz/skills/three-dimensional-memory/agent.json) - [Markdown brief](https://openagent3.xyz/skills/three-dimensional-memory/agent.md) - [Download page](https://openagent3.xyz/downloads/three-dimensional-memory)