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memory-compress内存压缩

Agent Skill

memory-compress 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

11,112

周安装

463

GitHub Stars

公开资料未说明

下载量

3,704
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:memory-compress(内存压缩)
来源仓库:https://github.com/linglin6/memory-compress
安装命令:
openclaw skills install memory-compress
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 memory-compress

简介

memory-compress 将详细日志压缩为结构化摘要,实现高达 4-8 倍的压缩比且零信息丢失。

  • 适用于 OpenClaw 中每日日志归档、节省存储空间或提升检索效率的场景。
  • 采用经典算法优化文本密度,保留关键事实与决策节点供后续分析。
  • 安装命令为 openclaw skills install memory-compress,需具备读取日志文件与写入摘要权限。
  • 使用前应验证压缩逻辑是否符合业务语义,避免过度简化导致上下文缺失。

SKILL.md

name
memory-compress
description
Never let your agent forget what matters. Compress verbose daily logs into structured summaries — 4-8x compression, zero information loss. Inspired by classical Chinese writing: strip redundancy, keep turning points, let structure carry meaning. Smart hybrid extraction finds key events, lessons, decisions and todos from any markdown format. No API keys, no vector DB, no dependencies. Just run it. Works with any OpenClaw agent, Cursor, Claude Code, or any markdown-based memory system.

Memory Compress

Your agent's memory is drowning in daily logs. This fixes it.

I built this because my agent's MEMORY.md hit 15,000 words and daily logs kept piling up at 2,500 words/day. Needed a way to compress without losing the important stuff.

The key insight came from classical Chinese writing — ancient scholars compressed entire dynasties into single sentences. Same principle here:

  1. Strip redundancy — mention it once, not three times
  2. Keep only turning points — what changed, not what continued
  3. Let structure carry meaning — bullet hierarchy > verbose paragraphs
  4. Drop the process, keep the result — "failed 3 times, then X worked" > 3 failure descriptions

Result: 4-8x compression ratio, zero loss on key events. Zero dependencies.

Before: 2,500 words of raw daily log
After:    400 words of structured insight

Architecture

┌────────────────────────────────────────────────┐
│           THREE-LAYER MEMORY SYSTEM            │
├────────────────────────────────────────────────┤
│                                                │
│  Layer 1: IDENTITY (SOUL.md)                   │
│           Ultra-compressed, stable             │
│           Who you are. What matters.           │
│                                                │
│  Layer 2: CURATED MEMORY (MEMORY.md)     ◄──┐ │
│           4:1 compressed summaries          │ │
│           Key events + lessons + todos      │ │
│                                             │ │
│  Layer 3: RAW LOGS (memory/YYYY-MM-DD.md)   │ │
│           Full detail, everything        ───┘ │
│           ~2,500 words/day                     │
│                                                │
│  memory-compress: Layer 3 ──► Layer 2          │
└────────────────────────────────────────────────┘

Quick Start

# Compress today's log
node scripts/memory-compress.js memory/2026-03-14.md

# Specify output
node scripts/memory-compress.js memory/2026-03-14.md /tmp/compressed.md

# Append to long-term memory
node scripts/memory-compress.js memory/2026-03-14.md /tmp/today.md
cat /tmp/today.md >> MEMORY.md

How It Works

Smart Hybrid Extraction

Most memory tools choke on unstructured logs. This one doesn't.

Step 1 — Keyword Matching: Scans headers for 40+ patterns across Chinese & English:

  • Events: 重大进展, breakthrough, milestone, decision…
  • Lessons: 教训, 反思, insight, takeaway…
  • Growth: 进化, evolution, improvement…
  • Action items: 待办, 🔴, 🟡, todo, next step…

Step 2 — Fallback Extraction: When no keywords match (e.g. time-based headers like ## 08:44 Standup), automatically extracts all sections with top items. No data loss, ever.

Step 3 — Hybrid Mode: For multi-day files, matched sections use keyword extraction while unmatched sections use fallback. Both coexist. Nothing gets dropped.

The Classical Chinese Compression Philosophy

This isn't just "summarize shorter." It's a deliberate compression methodology:

PrincipleWhat it meansExample
去重复 (Strip redundancy)Mentioned once = enoughDon't repeat "WebSocket reconnection" across 3 sections
留转折 (Keep turning points)Only what *changed*"Switched from nginx to direct Node.js WSS" > 5 paragraphs of debugging
去过程 (Drop process)Result > journey"3 failures → fixed with X" > 3 failure descriptions
留白 (Leave blanks)Let reader inferBullet hierarchy implies relationship
形式即内容 (Form is content)Structure carries meaningNested lists > flat paragraphs

Output Format

## 2026-03-14 Key Experiences

### Key Events
- **Event title**
  - Detail 1
  - Detail 2

### Core Lessons
- Lesson learned

### Pending/Remaining
- 🔴 Urgent items
- 🟡 Important items

Batch Compression

# Compress last 7 days
for file in memory/2026-03-{08..14}.md; do
    [ -f "$file" ] && node scripts/memory-compress.js "$file" "/tmp/$(basename $file)"
done

Heartbeat Integration

Add to your maintenance cycle:

## Memory Maintenance (every 2-3 days)
1. Run: node scripts/memory-compress.js memory/YYYY-MM-DD.md /tmp/compressed.md
2. Review for accuracy
3. Append: cat /tmp/compressed.md >> MEMORY.md
4. Timestamp: date +%s > .last-memory-maintenance

Edge Cases

ScenarioBehavior
Empty fileGraceful skip
BOM-encodedAuto-detected, stripped
Non-UTF-8Warning + continues
Missing output dirAuto-created
No markdown structureFriendly message
Multi-day concatenatedHybrid strategy, all days preserved

CLI

node scripts/memory-compress.js <log-file> [output-file]
node scripts/memory-compress.js --help

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

OpenClaw

81.08%
按下载量换算3,003

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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