{ "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": { "downloadMode": "redirect", "downloadUrl": "/downloads/three-dimensional-memory", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=three-dimensional-memory", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "README.md", "SKILL.md", "_meta.json", "examples/daily-workflow.sh", "examples/one-week-example.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "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." ], "prompts": [ { "label": "New install", "body": "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." }, { "label": "Upgrade existing", "body": "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." } ] }, "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." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/three-dimensional-memory", "agentPageUrl": "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" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "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." ], "prompts": [ { "label": "New install", "body": "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." }, { "label": "Upgrade existing", "body": "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." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "three-dimensional-memory", "body": "Three-Dimensional Memory System for AI Assistants — 人类思维方式的文件记忆管理\n\nA memory management system that mirrors human cognition: organized by time, conversation, and topics." }, { "title": "🎯 Why This Skill?", "body": "Traditional file management organizes by file type (docs, images, videos). Humans don't think that way.\n\nHumans remember:\n\nWhen it happened (time)\nWhat was said (conversation)\nWhat it was about (topic)\n\nThis skill creates a three-dimensional memory space for AI assistants and their users." }, { "title": "Dimension 1: Timeline Memory", "body": "memory/\n├── 2026-02-21.md ← What happened today\n├── 2026-02-22.md ← What happened today\n└── 2026-02-23.md ← What happened today\n\nPurpose: Daily work logs, chronological record of events\nUpdate frequency: Daily\nContent: Tasks completed, decisions made, meetings held" }, { "title": "Dimension 2: Conversation Stream", "body": "AI-memory-backup/\n├── backup-20260221.md ← Complete conversation transcript\n├── backup-20260222.md ← Complete conversation transcript\n└── backup-20260223.md ← Complete conversation transcript\n\nPurpose: Full context preservation, searchable dialogue history\nUpdate frequency: Per conversation\nContent: Every word exchanged, including user messages and AI responses" }, { "title": "Dimension 3: Topic Network", "body": "topic-memory/\n├── project-product-launch/\n│ ├── proposal-v1.md\n│ ├── proposal-v2.md\n│ └── final-version.md\n│\n├── decision-org-restructure/\n│ ├── options-considered.md\n│ ├── final-decision.md\n│ └── implementation-plan.md\n│\n└── knowledge-market-analysis/\n ├── competitor-research.md\n └── trend-report.md\n\nPurpose: Project-centric information aggregation\nUpdate frequency: As projects evolve\nContent: All documents, decisions, and knowledge related to a specific topic" }, { "title": "📁 Recommended File Structure", "body": "workspace/\n│\n├── memory/ ← Dimension 1: Timeline\n│ ├── 2026-02-21.md\n│ ├── 2026-02-22.md\n│ └── 2026-02-23.md\n│\n├── AI-memory-backup/ ← Dimension 2: Conversation\n│ ├── backup-20260221.md\n│ ├── backup-20260222.md\n│ └── backup-20260223.md\n│\n├── topic-memory/ ← Dimension 3: Topics\n│ ├── project-[name]/\n│ ├── decision-[name]/\n│ ├── system-[name]/\n│ └── knowledge-[name]/\n│\n├── skills/ ← AI capabilities\n│\n├── MEMORY.md ← AI's long-term identity\n├── SOUL.md ← AI's personality\n└── USER.md ← User preferences" }, { "title": "Step 1: Initialize Structure", "body": "Create the three directories in your workspace:\n\nmkdir -p memory\nmkdir -p AI-memory-backup\nmkdir -p topic-memory" }, { "title": "Step 2: Daily Workflow", "body": "Every day, the AI should:\n\nWrite to memory/YYYY-MM-DD.md\n\nSummary of today's work\nDecisions made\nTasks completed\n\n\n\nBackup conversation to AI-memory-backup/backup-YYYYMMDD.md\n\nFull transcript\nImportant context\nUser preferences learned\n\n\n\nUpdate relevant topic-memory/ folders\n\nAdd new documents to projects\nUpdate decision records\nConsolidate knowledge" }, { "title": "Step 3: Access Information", "body": "Find by time: \"What did we do on Monday?\" → Check memory/\n\nFind by context: \"What exactly did I say about pricing?\" → Check AI-memory-backup/\n\nFind by topic: \"Where's the product launch plan?\" → Check topic-memory/project-product-launch/" }, { "title": "Scenario: Product Strategy Meeting", "body": "Dimension 1 - memory/2026-02-23.md:\n\n# 2026-02-23 Work Log\n\n## Morning\n- Product strategy meeting with CEO\n- Decided on three-tier pricing model\n- Delayed launch by 2 weeks for additional testing\n\n## Afternoon \n- Drafted pricing proposal\n- Created financial projections\n- Scheduled follow-up for tomorrow\n\n## Decisions\n- ✅ Adopt tiered pricing (Basic/Pro/Enterprise)\n- ✅ Delay launch from March 1 → March 15\n- ❌ Do not offer early-bird discounts\n\nDimension 2 - AI-memory-backup/backup-20260223.md:\n\n# Conversation Backup - 2026-02-23\n\n## Product Pricing Discussion\n\nUser: \"We need to decide on pricing today.\"\n\nAI: \"What are you considering?\"\n\nUser: \"I'm thinking three tiers: $29, $99, $299\"\n\nAI: \"Have you considered the psychology of pricing? \n $29 might signal 'cheap', $299 signals 'premium'.\"\n\nUser: \"Good point. Let's go with $39, $99, $299\"\n[Full conversation continues...]\n\nDimension 3 - topic-memory/project-product-launch/:\n\n# Product Launch Project\n\n## pricing-strategy.md (updated today)\nFinal decision: Three-tier model\n- Starter: $39/month\n- Professional: $99/month \n- Enterprise: $299/month\n\n## timeline.md (updated today)\nLaunch date: March 15, 2026 (delayed from March 1)\n\n## key-decisions.md\n- Pricing tiers finalized (2026-02-23)\n- Launch delayed for QA (2026-02-23)" }, { "title": "For Users", "body": "Review daily logs weekly - Quick scan of what happened\nSearch conversation backups - Find exact quotes and context\nUse topic folders - Navigate by project, not by file type\nKeep MEMORY.md updated - AI's identity and your preferences" }, { "title": "For AI Assistants", "body": "Update all three dimensions daily - Don't skip any\nBe consistent with naming - Use clear, searchable topic names\nCross-reference - Link between dimensions when relevant\nMaintain the index - Keep a master index of active topics" }, { "title": "🔍 Troubleshooting", "body": "\"I can't find a file\"\n→ Check all three dimensions. If it's not in timeline or topic, search conversation backup.\n\n\"There's duplicate information\"\n→ That's by design! Timeline shows when, topic shows what, conversation shows why.\n\n\"The AI forgot what we discussed\"\n→ Check AI-memory-backup/. The full context is there." }, { "title": "🌟 Why It Works", "body": "Traditional file management: \"Where did I save that document?\"\n\nThree-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\n\nResult: Find files in 10 seconds instead of 5 minutes." }, { "title": "📄 Metadata", "body": "Author: @openclaw-user\nCreated: 2026-02-23\nVersion: 1.0.0\nLicense: MIT\nTags: memory, organization, productivity, workflow\n\n\"The best file system is the one you don't have to think about.\"" } ], "body": "three-dimensional-memory\n\nThree-Dimensional Memory System for AI Assistants — 人类思维方式的文件记忆管理\n\nA memory management system that mirrors human cognition: organized by time, conversation, and topics.\n\n🎯 Why This Skill?\n\nTraditional file management organizes by file type (docs, images, videos). Humans don't think that way.\n\nHumans remember:\n\nWhen it happened (time)\nWhat was said (conversation)\nWhat it was about (topic)\n\nThis skill creates a three-dimensional memory space for AI assistants and their users.\n\n🧠 The Three Dimensions\nDimension 1: Timeline Memory\nmemory/\n├── 2026-02-21.md ← What happened today\n├── 2026-02-22.md ← What happened today\n└── 2026-02-23.md ← What happened today\n\n\nPurpose: Daily work logs, chronological record of events\nUpdate frequency: Daily\nContent: Tasks completed, decisions made, meetings held\n\nDimension 2: Conversation Stream\nAI-memory-backup/\n├── backup-20260221.md ← Complete conversation transcript\n├── backup-20260222.md ← Complete conversation transcript\n└── backup-20260223.md ← Complete conversation transcript\n\n\nPurpose: Full context preservation, searchable dialogue history\nUpdate frequency: Per conversation\nContent: Every word exchanged, including user messages and AI responses\n\nDimension 3: Topic Network\ntopic-memory/\n├── project-product-launch/\n│ ├── proposal-v1.md\n│ ├── proposal-v2.md\n│ └── final-version.md\n│\n├── decision-org-restructure/\n│ ├── options-considered.md\n│ ├── final-decision.md\n│ └── implementation-plan.md\n│\n└── knowledge-market-analysis/\n ├── competitor-research.md\n └── trend-report.md\n\n\nPurpose: Project-centric information aggregation\nUpdate frequency: As projects evolve\nContent: All documents, decisions, and knowledge related to a specific topic\n\n📁 Recommended File Structure\nworkspace/\n│\n├── memory/ ← Dimension 1: Timeline\n│ ├── 2026-02-21.md\n│ ├── 2026-02-22.md\n│ └── 2026-02-23.md\n│\n├── AI-memory-backup/ ← Dimension 2: Conversation\n│ ├── backup-20260221.md\n│ ├── backup-20260222.md\n│ └── backup-20260223.md\n│\n├── topic-memory/ ← Dimension 3: Topics\n│ ├── project-[name]/\n│ ├── decision-[name]/\n│ ├── system-[name]/\n│ └── knowledge-[name]/\n│\n├── skills/ ← AI capabilities\n│\n├── MEMORY.md ← AI's long-term identity\n├── SOUL.md ← AI's personality\n└── USER.md ← User preferences\n\n🚀 Quick Start\nStep 1: Initialize Structure\n\nCreate the three directories in your workspace:\n\nmkdir -p memory\nmkdir -p AI-memory-backup\nmkdir -p topic-memory\n\nStep 2: Daily Workflow\n\nEvery day, the AI should:\n\nWrite to memory/YYYY-MM-DD.md\n\nSummary of today's work\nDecisions made\nTasks completed\n\nBackup conversation to AI-memory-backup/backup-YYYYMMDD.md\n\nFull transcript\nImportant context\nUser preferences learned\n\nUpdate relevant topic-memory/ folders\n\nAdd new documents to projects\nUpdate decision records\nConsolidate knowledge\nStep 3: Access Information\n\nFind by time: \"What did we do on Monday?\" → Check memory/\n\nFind by context: \"What exactly did I say about pricing?\" → Check AI-memory-backup/\n\nFind by topic: \"Where's the product launch plan?\" → Check topic-memory/project-product-launch/\n\n📝 Example: A Day in Three Dimensions\nScenario: Product Strategy Meeting\n\nDimension 1 - memory/2026-02-23.md:\n\n# 2026-02-23 Work Log\n\n## Morning\n- Product strategy meeting with CEO\n- Decided on three-tier pricing model\n- Delayed launch by 2 weeks for additional testing\n\n## Afternoon \n- Drafted pricing proposal\n- Created financial projections\n- Scheduled follow-up for tomorrow\n\n## Decisions\n- ✅ Adopt tiered pricing (Basic/Pro/Enterprise)\n- ✅ Delay launch from March 1 → March 15\n- ❌ Do not offer early-bird discounts\n\n\nDimension 2 - AI-memory-backup/backup-20260223.md:\n\n# Conversation Backup - 2026-02-23\n\n## Product Pricing Discussion\n\nUser: \"We need to decide on pricing today.\"\n\nAI: \"What are you considering?\"\n\nUser: \"I'm thinking three tiers: $29, $99, $299\"\n\nAI: \"Have you considered the psychology of pricing? \n $29 might signal 'cheap', $299 signals 'premium'.\"\n\nUser: \"Good point. Let's go with $39, $99, $299\"\n[Full conversation continues...]\n\n\nDimension 3 - topic-memory/project-product-launch/:\n\n# Product Launch Project\n\n## pricing-strategy.md (updated today)\nFinal decision: Three-tier model\n- Starter: $39/month\n- Professional: $99/month \n- Enterprise: $299/month\n\n## timeline.md (updated today)\nLaunch date: March 15, 2026 (delayed from March 1)\n\n## key-decisions.md\n- Pricing tiers finalized (2026-02-23)\n- Launch delayed for QA (2026-02-23)\n\n💡 Best Practices\nFor Users\nReview daily logs weekly - Quick scan of what happened\nSearch conversation backups - Find exact quotes and context\nUse topic folders - Navigate by project, not by file type\nKeep MEMORY.md updated - AI's identity and your preferences\nFor AI Assistants\nUpdate all three dimensions daily - Don't skip any\nBe consistent with naming - Use clear, searchable topic names\nCross-reference - Link between dimensions when relevant\nMaintain the index - Keep a master index of active topics\n🔍 Troubleshooting\n\n\"I can't find a file\" → Check all three dimensions. If it's not in timeline or topic, search conversation backup.\n\n\"There's duplicate information\"\n→ That's by design! Timeline shows when, topic shows what, conversation shows why.\n\n\"The AI forgot what we discussed\" → Check AI-memory-backup/. The full context is there.\n\n🌟 Why It Works\n\nTraditional file management: \"Where did I save that document?\"\n\nThree-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\n\nResult: Find files in 10 seconds instead of 5 minutes.\n\n📄 Metadata\nAuthor: @openclaw-user\nCreated: 2026-02-23\nVersion: 1.0.0\nLicense: MIT\nTags: memory, organization, productivity, workflow\n\n\"The best file system is the one you don't have to think about.\"" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/amlyx/three-dimensional-memory", "publisherUrl": "https://clawhub.ai/amlyx/three-dimensional-memory", "owner": "amlyx", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "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" } }