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在 OpenClaw 中安装
/install memory-engine-guide
功能描述
MemGPT-style persistent memory with passive auto-capture — your agent remembers everything automatically. 20 tools + 2 hooks. Five-layer architecture: core i...
安全使用建议
This skill is plausible for a memory system, but it instructs you to install an external plugin and run a setup script that will: capture every message, perform migrations, patch agent instructions, and install background jobs. Before installing, (1) review the plugin's source code and the exact setup.sh script on the linked GitHub/npm package; (2) confirm where memories are stored (local vs remote), encryption at rest/transit, retention and deletion controls, and who can access them; (3) test in an isolated environment or staging agent first; (4) ask the author to document exactly what 'agent instruction patching' and migration steps modify; and (5) if you handle sensitive data, prefer explicit consent, scoped capture, and auditable access controls or decline installation until these questions are answered.
能力评估
Purpose & Capability
The name/description (MemGPT-style persistent memory) aligns with the tools and hooks listed (archival, graph, episodes, reflection). However the SKILL.md also mentions 'agent instruction patching', 'legacy data migration', 'maintenance crons', and interactive setup — capabilities that go beyond simple memory storage and should be justified (why patch agent instructions? what legacy sources will be accessed?).
Instruction Scope
The instructions tell an operator/agent to install an external plugin and run a home-directory setup script (~/.openclaw/extensions/memory-engine/setup.sh) and restart the gateway. Runtime behavior promises passive capture of 'every message' and automated migrations/cron jobs. That implies broad read/write access to conversations and possible modification of agent configuration; the SKILL.md does not enumerate safeguards, data destinations, or exact migration sources.
Install Mechanism
There is no bundled code in this skill; instead the SKILL.md instructs installation of @icex-labs/openclaw-memory-engine via the OpenClaw plugin system (npm/GitHub links provided). Downloading and running a setup.sh from the installed extension is a moderate risk pattern — npm/GitHub are usual release hosts, but the setup script will be executed locally and could modify agent/runtime state.
Credentials
The skill requests no explicit environment variables or credentials, but its passive capture behavior means it will collect all conversation content (potentially highly sensitive). It also promises legacy data migration and agent patching without disclosing data sources or access controls. The lack of declared storage/back-end or access control details makes the requested level of data access disproportionate to what is documented.
Persistence & Privilege
Although not set to always:true, SKILL.md describes installing maintenance crons, self-healing backfills, and agent instruction patching — persistent behaviors that change runtime and could run autonomously. Those privileges should be clearly documented and limited; the skill does not describe what periodic tasks do or how they are authorized.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install memory-engine-guide - 安装完成后，直接呼叫该 Skill 的名称或使用
/memory-engine-guide触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v5.0.2
v5.0: embedding-based classification, format-based fallback, 20 tools + 2 hooks
v4.2.2
Usage guide for openclaw-memory-engine plugin. 20 tools + 2 hooks reference.
元数据
常见问题
Clawhub Memory Engine 是什么？
MemGPT-style persistent memory with passive auto-capture — your agent remembers everything automatically. 20 tools + 2 hooks. Five-layer architecture: core i... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 105 次。
如何安装 Clawhub Memory Engine？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memory-engine-guide」即可一键安装，无需额外配置。
Clawhub Memory Engine 是免费的吗？
是的，Clawhub Memory Engine 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Clawhub Memory Engine 支持哪些平台？
Clawhub Memory Engine 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Clawhub Memory Engine？
由 ytangguo（@ytangguo）开发并维护，当前版本 v5.0.2。
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