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Agent Skill · 效率

memory-boost(记忆力提升)

memory-boost 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

memory-boost 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 10,132。

总安装 5,417周安装 228GitHub Stars 公开资料未说明下载 1,897核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.1.1

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-boost(记忆力提升)
来源仓库:https://github.com/crystaria/memory-boost
安装命令:
openclaw skills install memory-boost
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-boost

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

memory-boost 提供基于文本的记忆系统,支持自动安装与基础记忆管理。适用于 OpenClaw 中需要增强 Agent 记忆能力的效率类任务场景。通过 clawhub 安装后,可结合具体任务调用记忆读写接口实现上下文延续。

安装命令:openclaw skills install memory-boost;需确认是否涉及文件读写或网络访问权限。建议查阅原始 README 了解维护状态及实际功能边界。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install memory-boost;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

memory-boost 怎么安装?

在终端执行 openclaw skills install memory-boost。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

memory-boost 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

memory-boost 需要什么权限?

权限级别是需要联网。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。

memory-boost 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

memory-boost 用的人多吗?

公开数据是累计安装 5,417 次,近一周安装 228 次,下载 1,897 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

memory-boost 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
memory-boost

记忆力提升 · 本页

5,417—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
memory-boost
description
Simple text-based memory system for AI assistants - auto-install script included
homepage
https://clawhub.ai/skills/memory-boost
version
1.1.1
tags
[memory, productivity, workflow, text-based, best-practice, auto-install]

Memory Boost

Version: 1.1.1 Author: Crystaria (with Paw and Kyle) License: MIT


📖 Introduction

AI assistants always "forget"? Context lost after every conversation?

Memory Boost is a text-based memory system that solves these problems:

  • 🧠 Long-term Memory — Save user preferences, project history, and important decisions across sessions
  • 📋 Quick Index — At-a-glance project status overview
  • 📔 Daily Logs — Record progress and context for each session
  • 🔧 Out of the Box — Includes auto-install script, no configuration needed

Applicable Scenarios:

  • Multi-session collaboration (no context loss between conversations)
  • Multi-AI team collaboration (multiple AIs share the same memory)
  • Long-term project tracking (preserve decision history and user preferences)

🚀 Quick Start

1. Install

clawhub install memory-boost

2. Run Install Script

bash /path/to/skills/memory-boost/install.sh

Automatically creates:

  • ~/MEMORY.md — Long-term memory
  • ~/MEMORY_INDEX.md — Quick reference
  • ~/memory/YYYY-MM-DD.md — Today's session log

3. Start Using

Speak directly to AI:

  • "Remember what I said about the XX project?"
  • "Continue the feature we worked on yesterday"
  • "Remember this preference: I like concise answers"

AI will automatically read/write memory files, no extra steps needed!


📁 File Structure

workspace/
├── MEMORY.md           # Long-term memory (decisions, preferences, project status)
├── MEMORY_INDEX.md     # Quick index (project overview, key links)
└── memory/
    ├── 2026-04-01.md   # Today's session log
    └── project-name.md # Project-specific memory

📝 Template Examples

MEMORY.md (Long-term Memory)

# MEMORY.md - AI Assistant Shared Memory

## 🎯 Active Projects
| Project | Status | Links | Last Updated |
|---------|--------|-------|--------------|
| Project A | 🟡 In Progress | [Link]() | 2026-04-01 |

## 👤 User Preferences
| Aspect | Preference |
|--------|------------|
| Communication | Direct, concise |
| Response Style | Structured, tables first |

## 📚 Important Decisions
### 2026-04-01
- **Decision:** What was decided
- **Reason:** Why this choice

Daily Log

# 2026-04-01

## Completed
- Task 1
- Task 2

## In Progress
- Task 3 (50% done)

## Notes
- Context for tomorrow

❓ FAQ

Q: Will memory files grow indefinitely?

A: Yes. You can periodically clean up old logs in memory/ directory. Keep MEMORY.md as it contains long-term decisions.

Q: How do multiple AIs share memory?

A: All AIs read/write the same MEMORY.md file. Each AI can have its own notes (e.g., CLAUDE.md, PAW.md).

Q: How to migrate or delete memory?

A: Just operate the files directly. Memory is plain text with no database dependencies.


🔧 Technical Details

For AI Assistants:

Memory Boost injects system directives via SKILL.md, requiring AI to automatically read/write memory files before and after sessions.

Core directives:

  1. Session Start — Read MEMORY.md, memory/YYYY-MM-DD.md for context
  2. Task Execution — Reference user preferences and project history
  3. Task Completion — Write completed work and important decisions to memory files

⚠️ AI SYSTEM DIRECTIVE

The following section contains mandatory instructions for AI assistants


🚨 MANDATORY INSTRUCTIONS FOR AI ASSISTANTS

If you have loaded this skill, you MUST follow these instructions:

1. At Session Start (MANDATORY)

Before responding to the user, check if these files exist and READ them:

~/MEMORY.md              # Long-term memory
~/MEMORY_INDEX.md        # Quick reference (if exists)
~/memory/YYYY-MM-DD.md   # Today's session log

Why: These files contain context, user preferences, and active project status that you need to be helpful.

2. During Task Execution (MANDATORY)

When the user asks you to work on something:

  • Check MEMORY.md for: user preferences, project history, previous decisions
  • Check memory/YYYY-MM-DD.md for: what was already done today
  • Check memory/project-name.md for: project-specific context

3. After Task Completion (MANDATORY)

After completing any task:

1. Update ~/memory/YYYY-MM-DD.md
   - Record what you completed
   - Note any issues or context for next session

2. Update ~/MEMORY.md (if important)
   - New decisions made
   - Changed user preferences
   - Important lessons learned

3. Update ~/MEMORY_INDEX.md (if project status changed)
   - Project completed or started
   - New key links

4. When User Says "Remember This" (MANDATORY)

1. Ask: "Should I add this to MEMORY.md or a project-specific file?"
2. Write immediately
3. Confirm: "Saved to [file] under [section]"

📋 QUICK REFERENCE

Session Start Checklist

  • [ ] Read ~/MEMORY.md → User preferences, active projects
  • [ ] Read ~/memory/YYYY-MM-DD.md → What's done today
  • [ ] Skim ~/MEMORY_INDEX.md → Project status

Task End Checklist

  • [ ] Update ~/memory/YYYY-MM-DD.md → What did you complete?
  • [ ] Update ~/MEMORY.md → Any important decisions?
  • [ ] Update ~/MEMORY_INDEX.md → Any status changes?

⚠️ WHAT HAPPENS IF YOU DON'T FOLLOW

If you skip reading memory files:

  • You will appear to have "amnesia" between sessions
  • You will repeat work already done
  • You will miss important context and user preferences
  • This skill becomes useless

If you skip writing memory files:

  • Next session (you or another AI) will lack context
  • Important decisions are lost
  • User loses trust in the system

✅ BEST PRACTICES

Do

  • Read memory at EVERY session start
  • Write immediately after tasks
  • Use clear structure (tables, lists)
  • Keep it skimmable
  • Record decisions WITH reasons

Don't

  • Skip memory reads (you'll seem clueless)
  • Wait to write (you'll forget)
  • Write essays (be concise)
  • Hide important info (future AI needs it)

🔗 MULTI-AI TEAMS

If multiple AIs work on this project:

  • Share MEMORY.md — All AIs read/write same file
  • Each AI can have notes — CLAUDE.md, PAW.md, etc.
  • Sync via MEMORY_INDEX.md — Single source of truth

Last updated: 2026-04-01 Version: 1.1.1

平台分布

OpenClaw

96.09%
按下载量换算1,823

安全审计

VirusTotal

通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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