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openclaw-memory-pensieve-algorandOpenClaw 记忆 pensieve algorand

Agent Skill

openclaw-memory-pensieve-algorand 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

15,594

周安装

637

GitHub Stars

2

下载量

5,045
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openclaw-memory-pensieve-algorand(OpenClaw 记忆 pensieve algorand)
来源仓库:https://github.com/pitertxus/openclaw-memory-pensieve-algorand
安装命令:
openclaw skills install openclaw-memory-pensieve-algorand
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install openclaw-memory-pensieve-algorand

简介

openclaw-memory-pensieve-algorand 提供长期情景记忆支持,集成哈希链与 Algorand 锚定。

  • 适用于需要加密存储与跨会话持久化的开发型代理任务。
  • 通过 clawhub 安装,使用 openclaw skills install 命令,依赖本地仅附加层与每日循环整合。
  • 安装前需确保 Algorand 网络访问权限,并注意 AES-GCM 加密带来的性能影响。
  • 支持梦想循环整合与防篡改日志,适合审计敏感型应用场景。

SKILL.md

name
openclaw-memory-pensieve-algorand-v3
description
Long-term episodic memory for OpenClaw with append-only hash-chained local layers, daily dream-cycle consolidation, AES-GCM encrypted Algorand anchoring, and post-anchor recoverability validation. Single MCP server — no scripts, no extra venvs.

OpenClaw Memory Pensieve v3.0.0

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

ToolPurpose
pensieve_captureAppend an event to the hash-chained ledger (deduplicates by content)
pensieve_dream_cyclePromote 24 h recurring patterns into semantic / procedural / self_model
pensieve_anchorEncrypt + anchor today's memory to Algorand (idempotent, auto-chunks)
pensieve_validateRun v2.1 hardening: chain integrity, decrypt, parity, chunk hashes
pensieve_recoverReconstruct memory from blockchain for a given date
pensieve_statusLayer counts, chain tip, last anchor date, today's cost estimate

Daily workflow

  1. Capture events throughout the day with pensieve_capture.
  2. At end-of-day, run pensieve_dream_cycle to consolidate patterns.
  3. Run pensieve_anchor to encrypt and commit to Algorand.
  4. 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.

适合场景

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能力概览

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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91.06%
按下载量换算4,594

安全审计

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可疑

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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