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Memory Compactor

作者 Simon Lau · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install memory-compactor
功能描述
记忆压缩整理 - 自动整理和压缩长期记忆
安全使用建议
Before installing, get specifics and add safeguards: 1) Ask the author to define exact file paths and a safe sandbox (so it cannot touch other files). 2) Require a dry-run mode that shows proposed changes without writing. 3) Require automatic backups/versioning before any deletions and clear retention/threshold settings (what '超过阈值' means). 4) Require verbose logs and a confirmation step for destructive actions. 5) If possible, run initially on a copy of your memories or in a restricted environment to validate behavior. If the skill's author cannot provide these protections and precise rules, treat it as risky to run with write/delete access to your memory files.
功能分析
Type: OpenClaw Skill Name: memory-compactor Version: 1.0.0 The memory-compactor skill is a maintenance utility designed to summarize and clean up an agent's internal memory files (e.g., MEMORY.md and memory/*.md). It contains no executable code, suspicious network requests, or instructions to access sensitive system data, appearing entirely focused on routine data organization and minimization.
能力评估
Purpose & Capability
Name and description (memory compaction) align with the instructions: the SKILL.md explicitly describes compressing/cleaning files under memory/YYYY-MM-DD.md, memory/categories/*.md, and MEMORY.md. No unrelated services, binaries, or credentials are requested.
Instruction Scope
The instructions tell the agent to run periodic/manual/automatic compaction and reference concrete file paths under a 'memory' directory. However they are underspecified about exact file-scope, thresholds for '超过阈值', destructive operations, and backup/rollback. There are no safety checks, dry-run modes, explicit retention rules, or confirmation steps described — giving the agent broad discretion to modify or delete local files without constraints.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing will be written to disk by an installer.
Credentials
No environment variables, credentials, or external config paths are requested. The only resources referenced are local ‘memory’ file paths, which match the stated purpose.
Persistence & Privilege
always:false (normal). The skill can be invoked autonomously (platform default) but is not force-included. Autonomous invocation combined with the instruction vagueness increases risk of unintended modifications; consider restricting autonomous runs or requiring user confirmation for destructive actions.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install memory-compactor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /memory-compactor 触发
  4. 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
自动压缩记忆,清理过期信息
元数据
Slug memory-compactor
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Memory Compactor 是什么?

记忆压缩整理 - 自动整理和压缩长期记忆. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 94 次。

如何安装 Memory Compactor?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install memory-compactor」即可一键安装,无需额外配置。

Memory Compactor 是免费的吗?

是的,Memory Compactor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Memory Compactor 支持哪些平台?

Memory Compactor 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 Compactor?

由 Simon Lau(@soroyue)开发并维护,当前版本 v1.0.0。

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