# Send pensieve-algorand 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. 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. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "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": {
    "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",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "server.py",
      "SKILL.md",
      "requirements.txt",
      "references/architecture.md",
      "references/hardening-v21.md",
      "references/ops-runbook.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "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."
      ]
    }
  },
  "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",
    "briefUrl": "https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand/agent.md"
  }
}
```
## Documentation

### MCP server

All functionality is in one file: server.py.

Register it in Claude Code settings:

{
  "mcpServers": {
    "pensieve": {
      "command": "python3",
      "args": ["/path/to/server.py"],
      "env": {
        "OPENCLAW_WORKSPACE": "/path/to/workspace",
        "ALGORAND_WALLET_ADDRESS": "<address>",
        "ALGORAND_WALLET_MNEMONIC": "<25-word mnemonic>",
        "ALGORAND_NOTE_KEY_HEX": "<64 hex chars = 32 bytes>",
        "ALGORAND_ALGOD_URL": "https://mainnet-api.algonode.cloud",
        "ALGORAND_INDEXER_URL": "https://mainnet-idx.algonode.cloud"
      }
    }
  }
}

Install dependencies (one-time):

pip install mcp algosdk cryptography

### Tools

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

### Daily workflow

Capture events throughout the day with pensieve_capture.
At end-of-day, run pensieve_dream_cycle to consolidate patterns.
Run pensieve_anchor to encrypt and commit to Algorand.
Run pensieve_validate — only trust recovery claims when ok=true.

### Mandatory operational rules

All *.jsonl files are append-only. Never rewrite or delete lines.
Secrets stay in env vars (or .secrets/). Never print them in chat.
Anchor encrypted payloads only — never plaintext memory.
Treat pensieve_validate failures as blocking for disaster-recovery claims.

### Security

Sensitive values are read from environment variables at runtime:

ALGORAND_WALLET_MNEMONIC — never logged, never written to disk by the server.
ALGORAND_NOTE_KEY_HEX — 64 hex chars (32-byte AES key).

Fallback to .secrets/algorand-wallet-nox.json and .secrets/algorand-note-key.bin
is supported for local development only. Prefer env vars in all deployments.

Use 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.

### Recovery

# Recover and inspect
pensieve_recover(date="2026-03-14")

# Recover and write files to memory/recovered/
pensieve_recover(date="2026-03-14", restore=True)

### Architecture reference

See references/architecture.md for memory layer model and integrity guarantees.
See references/hardening-v21.md for the v2.1 pass/fail contract.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: pitertxus
- Version: 3.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand)
- [Send to Agent page](https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand/agent)
- [JSON manifest](https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/openclaw-memory-pensieve-algorand/agent.md)
- [Download page](https://openagent3.xyz/downloads/openclaw-memory-pensieve-algorand)