{
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  "item": {
    "slug": "openclaw-memory",
    "name": "Openclaw Memory",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/AtlasPA/openclaw-memory",
    "canonicalUrl": "https://clawhub.ai/AtlasPA/openclaw-memory",
    "targetPlatform": "OpenClaw"
  },
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    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "AGENT-PAYMENTS.md",
      "hooks/request-after.js",
      "hooks/request-before.js",
      "hooks/session-end.js",
      "IMPLEMENTATION-SUMMARY.md",
      "IMPLEMENTATION_SUMMARY.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. 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. Summarize what changed and any follow-up checks I should run."
        }
      ]
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      "checkedAt": "2026-04-30T16:55:25.780Z",
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        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/openclaw-memory"
    },
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        "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/openclaw-memory",
    "agentPageUrl": "https://openagent3.xyz/skills/openclaw-memory/agent",
    "manifestUrl": "https://openagent3.xyz/skills/openclaw-memory/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/openclaw-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. 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. Summarize what changed and any follow-up checks I should run."
      }
    ]
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "OpenClaw Memory System",
        "body": "Persistent memory across sessions with semantic search and x402 payments."
      },
      {
        "title": "What is it?",
        "body": "The first OpenClaw skill that gives your agents persistent memory - they remember facts, preferences, patterns, and conversation history across all sessions. Never repeat context again."
      },
      {
        "title": "Key Features",
        "body": "🧠 Persistent Memory - Remembers everything across sessions\n🔍 Semantic Search - Find memories by meaning, not just keywords\n🤖 Automatic Learning - Extracts facts and preferences automatically\n💾 Local Storage - SQLite database with vector embeddings\n💰 x402 Payments - Agents can pay for unlimited storage (0.5 USDT/month)"
      },
      {
        "title": "Free vs Pro Tier",
        "body": "Free Tier:\n\n100 memories maximum\n7-day retention\nBasic semantic search\n\nPro Tier (0.5 USDT/month):\n\nUnlimited memories\nPermanent retention\nAdvanced semantic search\nMemory relationship mapping"
      },
      {
        "title": "Installation",
        "body": "claw skill install openclaw-memory"
      },
      {
        "title": "Commands",
        "body": "# Search memories\nclaw memory search \"What does user prefer?\"\n\n# List recent memories\nclaw memory list --limit=10\n\n# Show stats\nclaw memory stats\n\n# Open dashboard\nclaw memory dashboard\n\n# Subscribe to Pro\nclaw memory subscribe"
      },
      {
        "title": "How It Works",
        "body": "Hooks into requests - Automatically extracts important information\nGenerates embeddings - Creates semantic vectors for search\nStores locally - SQLite database with full privacy\nRetrieves on demand - Injects relevant memories before requests\nManages quota - Prunes old memories when limits reached (Free tier)"
      },
      {
        "title": "Use Cases",
        "body": "Remember user preferences and coding style\nStore project context and requirements\nLearn patterns from repeated interactions\nMaintain conversation history across sessions\nBuild knowledge base over time"
      },
      {
        "title": "Agent Economy",
        "body": "Agents can autonomously evaluate if Pro tier is worth it:\n\nCost: 0.5 USDT/month\nValue: Saves tokens by eliminating context repetition\nROI: If persistent memory saves >0.5 USDT/month in tokens, it pays for itself\n\nSee AGENT-PAYMENTS.md for x402 integration details."
      },
      {
        "title": "Privacy",
        "body": "All data stored locally in ~/.openclaw/openclaw-memory/\nNo external servers or telemetry\nEmbeddings can use local models (no API calls)\nOpen source - audit the code yourself"
      },
      {
        "title": "Dashboard",
        "body": "Access web UI at http://localhost:9091:\n\nBrowse and search memories\nView memory timeline\nCheck quota and stats\nManage Pro subscription"
      },
      {
        "title": "Foundation for Future Tools",
        "body": "Memory System is the foundation for:\n\nContext Optimizer - Uses memories to compress context\nSmart Router - Learns routing patterns\nRate Limit Manager - Tracks usage patterns"
      },
      {
        "title": "Requirements",
        "body": "Node.js 18+\nOpenClaw v2026.1.30+\nOS: Windows, macOS, Linux"
      },
      {
        "title": "Links",
        "body": "Documentation\nAgent Payments Guide\nGitHub Repository\nClawHub Page\n\nBuilt by the OpenClaw community | First memory system with x402 payments"
      }
    ],
    "body": "OpenClaw Memory System\n\nPersistent memory across sessions with semantic search and x402 payments.\n\nWhat is it?\n\nThe first OpenClaw skill that gives your agents persistent memory - they remember facts, preferences, patterns, and conversation history across all sessions. Never repeat context again.\n\nKey Features\n🧠 Persistent Memory - Remembers everything across sessions\n🔍 Semantic Search - Find memories by meaning, not just keywords\n🤖 Automatic Learning - Extracts facts and preferences automatically\n💾 Local Storage - SQLite database with vector embeddings\n💰 x402 Payments - Agents can pay for unlimited storage (0.5 USDT/month)\nFree vs Pro Tier\n\nFree Tier:\n\n100 memories maximum\n7-day retention\nBasic semantic search\n\nPro Tier (0.5 USDT/month):\n\nUnlimited memories\nPermanent retention\nAdvanced semantic search\nMemory relationship mapping\nInstallation\nclaw skill install openclaw-memory\n\nCommands\n# Search memories\nclaw memory search \"What does user prefer?\"\n\n# List recent memories\nclaw memory list --limit=10\n\n# Show stats\nclaw memory stats\n\n# Open dashboard\nclaw memory dashboard\n\n# Subscribe to Pro\nclaw memory subscribe\n\nHow It Works\nHooks into requests - Automatically extracts important information\nGenerates embeddings - Creates semantic vectors for search\nStores locally - SQLite database with full privacy\nRetrieves on demand - Injects relevant memories before requests\nManages quota - Prunes old memories when limits reached (Free tier)\nUse Cases\nRemember user preferences and coding style\nStore project context and requirements\nLearn patterns from repeated interactions\nMaintain conversation history across sessions\nBuild knowledge base over time\nAgent Economy\n\nAgents can autonomously evaluate if Pro tier is worth it:\n\nCost: 0.5 USDT/month\nValue: Saves tokens by eliminating context repetition\nROI: If persistent memory saves >0.5 USDT/month in tokens, it pays for itself\n\nSee AGENT-PAYMENTS.md for x402 integration details.\n\nPrivacy\nAll data stored locally in ~/.openclaw/openclaw-memory/\nNo external servers or telemetry\nEmbeddings can use local models (no API calls)\nOpen source - audit the code yourself\nDashboard\n\nAccess web UI at http://localhost:9091:\n\nBrowse and search memories\nView memory timeline\nCheck quota and stats\nManage Pro subscription\nFoundation for Future Tools\n\nMemory System is the foundation for:\n\nContext Optimizer - Uses memories to compress context\nSmart Router - Learns routing patterns\nRate Limit Manager - Tracks usage patterns\nRequirements\nNode.js 18+\nOpenClaw v2026.1.30+\nOS: Windows, macOS, Linux\nLinks\nDocumentation\nAgent Payments Guide\nGitHub Repository\nClawHub Page\n\nBuilt by the OpenClaw community | First memory system with x402 payments"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/AtlasPA/openclaw-memory",
    "publisherUrl": "https://clawhub.ai/AtlasPA/openclaw-memory",
    "owner": "AtlasPA",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/openclaw-memory",
    "downloadUrl": "https://openagent3.xyz/downloads/openclaw-memory",
    "agentUrl": "https://openagent3.xyz/skills/openclaw-memory/agent",
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    "briefUrl": "https://openagent3.xyz/skills/openclaw-memory/agent.md"
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}