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Memory Optimizer
作者
SiriuSM00N
· GitHub ↗
· v1.0.0
· MIT-0
496
总下载
0
收藏
6
当前安装
1
版本数
在 OpenClaw 中安装
/install memory-optimizer
功能描述
提供基于SHA-256的重复记忆去重、后台实时更新和90天记忆自动归档的OpenClaw高效记忆管理方案。
安全使用建议
This package appears to do what it says: local SHA-256 deduplication + a watchdog-based listener. Before installing: 1) Inspect the scripts (you already have them) and confirm there are no network calls — none are present. 2) Note the missing memory-archive.sh referenced in docs/README.md and SKILL.md; if you need the archive step, either obtain that script from the author repository or implement your own archive process. 3) install.sh will copy files into ~/.openclaw/workspace and run 'pip3 install watchdog' — if you prefer, run the pip command in a virtualenv. 4) Back up any existing ~/.openclaw/workspace/memory/.index.json before running to avoid accidental overwrite. 5) If you have concerns about provenance, prefer installing from a trusted repository URL (skill.json lists a GitHub repo/homepage) or ask the author for a signed release.
功能分析
Type: OpenClaw Skill
Name: memory-optimizer
Version: 1.0.0
The memory-optimizer skill bundle is a legitimate utility designed to manage and optimize OpenClaw agent memory files through SHA-256 deduplication and real-time monitoring. The Python scripts (memory-dedup.py and memory-watcher.py) use standard libraries like hashlib and watchdog to index and track changes in Markdown files within the user's workspace. No evidence of data exfiltration, malicious persistence, or prompt injection was found; the code is well-documented and its behavior aligns perfectly with its stated purpose.
能力评估
Purpose & Capability
Name/description match the provided scripts: SHA-256 deduplication, a filesystem watcher, and an archive workflow. Required capabilities (Python, watchdog) are appropriate and proportional to the stated purpose.
Instruction Scope
SKILL.md instructs copying and running the included scripts and references a memory-archive.sh for quarterly archiving. The archive script is referenced in docs and skill.json but is missing from the package manifest — the instructions therefore promise functionality that isn't present in the bundle.
Install Mechanism
There is no remote download or obfuscated installer; install.sh/quickstart.sh copy files into ~/.openclaw/workspace and run pip3 install watchdog. This is low-to-moderate risk and expected. Minor inconsistency: registry metadata said 'no install spec', but the bundle includes an install.sh and an install block in skill.json.
Credentials
The skill requests no credentials or sensitive environment variables. install.sh optionally honors OPENCLAW_WORKSPACE (a reasonable convenience). The scripts operate on files under the user's home directory only and do not read or send secrets.
Persistence & Privilege
The skill does persist data to ~/.openclaw/workspace/memory/.index.json and can run a background watcher, but it does not request 'always: true' or system-wide privileges. It suggests adding a cron entry, which is a user action, not an automatic escalation.
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-optimizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/memory-optimizer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
v1.0.0
初始版本发布 - SHA-256 去重、实时监听、季度归档
元数据
常见问题
Memory Optimizer 是什么？
提供基于SHA-256的重复记忆去重、后台实时更新和90天记忆自动归档的OpenClaw高效记忆管理方案。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 496 次。
如何安装 Memory Optimizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memory-optimizer」即可一键安装，无需额外配置。
Memory Optimizer 是免费的吗？
是的，Memory Optimizer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Memory Optimizer 支持哪些平台？
Memory Optimizer 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 Memory Optimizer？
由 SiriuSM00N（@siriusm00n）开发并维护，当前版本 v1.0.0。
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