{
  "schemaVersion": "1.0",
  "item": {
    "slug": "openclaw-memory-pensieve-algorand",
    "name": "pensieve-algorand",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/pitertxus/openclaw-memory-pensieve-algorand",
    "canonicalUrl": "https://clawhub.ai/pitertxus/openclaw-memory-pensieve-algorand",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/openclaw-memory-pensieve-algorand",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=openclaw-memory-pensieve-algorand",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "server.py",
      "SKILL.md",
      "requirements.txt",
      "references/architecture.md",
      "references/hardening-v21.md",
      "references/ops-runbook.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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      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
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      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
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      "contentType": "application/zip",
      "probeMethod": "head",
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        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "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-pensieve-algorand"
    },
    "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/openclaw-memory-pensieve-algorand",
    "agentPageUrl": "https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand/agent",
    "manifestUrl": "https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand/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."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "MCP server",
        "body": "All functionality is in one file: server.py.\n\nRegister it in Claude Code settings:\n\n{\n  \"mcpServers\": {\n    \"pensieve\": {\n      \"command\": \"python3\",\n      \"args\": [\"/path/to/server.py\"],\n      \"env\": {\n        \"OPENCLAW_WORKSPACE\": \"/path/to/workspace\",\n        \"ALGORAND_WALLET_ADDRESS\": \"<address>\",\n        \"ALGORAND_WALLET_MNEMONIC\": \"<25-word mnemonic>\",\n        \"ALGORAND_NOTE_KEY_HEX\": \"<64 hex chars = 32 bytes>\",\n        \"ALGORAND_ALGOD_URL\": \"https://mainnet-api.algonode.cloud\",\n        \"ALGORAND_INDEXER_URL\": \"https://mainnet-idx.algonode.cloud\"\n      }\n    }\n  }\n}\n\nInstall dependencies (one-time):\n\npip install mcp algosdk cryptography"
      },
      {
        "title": "Tools",
        "body": "ToolPurposepensieve_captureAppend an event to the hash-chained ledger (deduplicates by content)pensieve_dream_cyclePromote 24 h recurring patterns into semantic / procedural / self_modelpensieve_anchorEncrypt + anchor today's memory to Algorand (idempotent, auto-chunks)pensieve_validateRun v2.1 hardening: chain integrity, decrypt, parity, chunk hashespensieve_recoverReconstruct memory from blockchain for a given datepensieve_statusLayer counts, chain tip, last anchor date, today's cost estimate"
      },
      {
        "title": "Daily workflow",
        "body": "Capture events throughout the day with pensieve_capture.\nAt end-of-day, run pensieve_dream_cycle to consolidate patterns.\nRun pensieve_anchor to encrypt and commit to Algorand.\nRun pensieve_validate — only trust recovery claims when ok=true."
      },
      {
        "title": "Mandatory operational rules",
        "body": "All *.jsonl files are append-only. Never rewrite or delete lines.\nSecrets stay in env vars (or .secrets/). Never print them in chat.\nAnchor encrypted payloads only — never plaintext memory.\nTreat pensieve_validate failures as blocking for disaster-recovery claims."
      },
      {
        "title": "Security",
        "body": "Sensitive values are read from environment variables at runtime:\n\nALGORAND_WALLET_MNEMONIC — never logged, never written to disk by the server.\nALGORAND_NOTE_KEY_HEX — 64 hex chars (32-byte AES key).\n\nFallback to .secrets/algorand-wallet-nox.json and .secrets/algorand-note-key.bin\nis supported for local development only. Prefer env vars in all deployments.\n\nUse a dedicated low-balance anchoring wallet. Fund it with enough ALGO for\nyour expected daily TX volume (see cost model in server.py module docstring).\nNever reuse the main OpenClaw operations wallet for anchoring."
      },
      {
        "title": "Recovery",
        "body": "# Recover and inspect\npensieve_recover(date=\"2026-03-14\")\n\n# Recover and write files to memory/recovered/\npensieve_recover(date=\"2026-03-14\", restore=True)"
      },
      {
        "title": "Architecture reference",
        "body": "See references/architecture.md for memory layer model and integrity guarantees.\nSee references/hardening-v21.md for the v2.1 pass/fail contract."
      }
    ],
    "body": "OpenClaw Memory Pensieve v3.0.0\nMCP server\n\nAll functionality is in one file: server.py.\n\nRegister it in Claude Code settings:\n\n{\n  \"mcpServers\": {\n    \"pensieve\": {\n      \"command\": \"python3\",\n      \"args\": [\"/path/to/server.py\"],\n      \"env\": {\n        \"OPENCLAW_WORKSPACE\": \"/path/to/workspace\",\n        \"ALGORAND_WALLET_ADDRESS\": \"<address>\",\n        \"ALGORAND_WALLET_MNEMONIC\": \"<25-word mnemonic>\",\n        \"ALGORAND_NOTE_KEY_HEX\": \"<64 hex chars = 32 bytes>\",\n        \"ALGORAND_ALGOD_URL\": \"https://mainnet-api.algonode.cloud\",\n        \"ALGORAND_INDEXER_URL\": \"https://mainnet-idx.algonode.cloud\"\n      }\n    }\n  }\n}\n\n\nInstall dependencies (one-time):\n\npip install mcp algosdk cryptography\n\nTools\nTool\tPurpose\npensieve_capture\tAppend an event to the hash-chained ledger (deduplicates by content)\npensieve_dream_cycle\tPromote 24 h recurring patterns into semantic / procedural / self_model\npensieve_anchor\tEncrypt + anchor today's memory to Algorand (idempotent, auto-chunks)\npensieve_validate\tRun v2.1 hardening: chain integrity, decrypt, parity, chunk hashes\npensieve_recover\tReconstruct memory from blockchain for a given date\npensieve_status\tLayer counts, chain tip, last anchor date, today's cost estimate\nDaily workflow\nCapture events throughout the day with pensieve_capture.\nAt end-of-day, run pensieve_dream_cycle to consolidate patterns.\nRun pensieve_anchor to encrypt and commit to Algorand.\nRun pensieve_validate — only trust recovery claims when ok=true.\nMandatory operational rules\nAll *.jsonl files are append-only. Never rewrite or delete lines.\nSecrets stay in env vars (or .secrets/). Never print them in chat.\nAnchor encrypted payloads only — never plaintext memory.\nTreat pensieve_validate failures as blocking for disaster-recovery claims.\nSecurity\n\nSensitive values are read from environment variables at runtime:\n\nALGORAND_WALLET_MNEMONIC — never logged, never written to disk by the server.\nALGORAND_NOTE_KEY_HEX — 64 hex chars (32-byte AES key).\n\nFallback to .secrets/algorand-wallet-nox.json and .secrets/algorand-note-key.bin is supported for local development only. Prefer env vars in all deployments.\n\nUse a dedicated low-balance anchoring wallet. Fund it with enough ALGO for your expected daily TX volume (see cost model in server.py module docstring). Never reuse the main OpenClaw operations wallet for anchoring.\n\nRecovery\n# Recover and inspect\npensieve_recover(date=\"2026-03-14\")\n\n# Recover and write files to memory/recovered/\npensieve_recover(date=\"2026-03-14\", restore=True)\n\nArchitecture reference\n\nSee references/architecture.md for memory layer model and integrity guarantees. See references/hardening-v21.md for the v2.1 pass/fail contract."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/pitertxus/openclaw-memory-pensieve-algorand",
    "publisherUrl": "https://clawhub.ai/pitertxus/openclaw-memory-pensieve-algorand",
    "owner": "pitertxus",
    "version": "3.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand",
    "downloadUrl": "https://openagent3.xyz/downloads/openclaw-memory-pensieve-algorand",
    "agentUrl": "https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand/agent",
    "manifestUrl": "https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand/agent.json",
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}