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Agent Skill · 研究检索

openclaw-enhanced-memory(OpenClaw enhanced 记忆)

openclaw-enhanced-memory 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。

openclaw-enhanced-memory 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为权限未标注;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 9,044。

总安装 15,031周安装 614GitHub Stars 公开资料未说明下载 4,814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
1.0.0

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:openclaw-enhanced-memory(OpenClaw enhanced 记忆)
来源仓库:https://github.com/fatcatmaofei/openclaw-enhanced-memory
安装命令:
openclaw skills install openclaw-enhanced-memory
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 openclaw-enhanced-memory

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

替换默认单文件 MEMORY.md 的分层目录内存架构系统。实现按主题、日期或项目分类的记忆文件组织管理。提升大体积记忆数据的检索速度与上下文相关性。openclaw-enhanced-memory 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

迁移过程会重写原有记忆结构,操作前务必备份 MEMORY.md。兼容现有工具链,但部分旧脚本可能需要适配新路径格式。

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 openclaw-enhanced-memory;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

openclaw-enhanced-memory 怎么安装?

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

openclaw-enhanced-memory 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。

openclaw-enhanced-memory 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

openclaw-enhanced-memory 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。

openclaw-enhanced-memory 用的人多吗?

公开数据是累计安装 15,031 次,近一周安装 614 次,下载 4,814 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。

openclaw-enhanced-memory 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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
openclaw-enhanced-memory

OpenClaw enhanced 记忆 · 本页

15,031—权限未标注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
enhanced-memory
description
>

Enhanced Memory

A structured memory system that gives your OpenClaw agent organized, searchable, long-lived memory instead of a single monolithic MEMORY.md.

Why?

The default MEMORY.md approach hits a wall fast:

  • One file grows endlessly → slow to read, expensive on tokens
  • No categorization → food logs mixed with project notes mixed with relationship context
  • No retrieval strategy → agent re-reads everything or misses what matters
  • No lifecycle → old entries clutter active memory forever

Tagged Memory fixes all of this.

Core Features

1. Hierarchical Directory Organization

Memories are stored in purpose-built directories:

memory/
├── current/          # Active memories (last 6 months)
├── archived/         # Auto-archived older memories (permanent, never deleted)
│   └── YYYY-MM/      # Organized by month
├── RELATION/         # One file per person (relationship context)
├── food/             # Meal and food logs
├── training/         # Exercise and workout records
├── connections.md    # Global relationship graph
├── system/           # System config and logs
└── misc/             # Everything else

2. Tag-Based Indexing

Tag any line in any memory file with [category:value] markers:

## 2026-02-20

- Had lunch with Zhang Hao [人物:张浩东] [类型:聚餐] [地点:campus]
- Discussed the new project deadline [项目:openclaw] [类型:会议]
- Yoyo learned a new trick today [宠物:悠悠] [类型:milestone]

Tags support multi-tag AND search — find the exact memory you need:

# Single tag search
python3 scripts/memory_tag_search.py "人物:张浩东"

# Multi-tag AND search (all tags must match)
python3 scripts/memory_tag_search.py "人物:王隆哲" "类型:开票信息"

# List all tags in the system
python3 scripts/memory_tag_search.py --list-tags

# List tags under a specific category
python3 scripts/memory_tag_search.py --list-tags --category 人物

3. Lifecycle Management

Memories age gracefully — never lost, always accessible:

AgeLocationStatus
0–6 monthsmemory/current/Active, auto-retrieved
6–12 monthsmemory/archived/YYYY-MM/Archived, searchable on demand
12+ monthsmemory/archived/Permanent archive, manual query

Run the lifecycle manager manually or via cron:

# Default: archive memories older than 6 months
python3 scripts/memory_lifecycle_manager.py

# Custom threshold (e.g., 90 days)
python3 scripts/memory_lifecycle_manager.py 90

4. Smart Cross-Category Retrieval

The retrieval strategy script auto-classifies queries and searches the right directories:

python3 scripts/memory_retrieval_strategy.py "What did I eat yesterday?"
# → Searches memory/food/ + memory/current/

python3 scripts/memory_retrieval_strategy.py "How is Yoyo doing?"
# → Searches memory/RELATION/悠悠.md + memory/connections.md

python3 scripts/memory_retrieval_strategy.py "Yang Lingxiao"
# → Searches memory/RELATION/ + memory/connections.md

Query type detection covers: food, training, relationships, pets, system, mood, projects, and more.

Scripts

ScriptPurpose
scripts/memory_tag_search.pyTag-based indexing and search (single/multi-tag AND queries, tag listing)
scripts/memory_retrieval_strategy.pySmart retrieval — auto-classifies queries and routes to relevant memory directories
scripts/memory_lifecycle_manager.pyAutomatic archival of old memories (configurable threshold, never deletes)

Integration

AGENTS.md

Add the following to your AGENTS.md memory section:

## Memory

### Directory Structure
- `memory/current/` — active memories (6 months)
- `memory/archived/` — permanent archive
- `memory/RELATION/` — per-person relationship files
- `memory/food/` — meal logs
- `memory/training/` — workout logs

### Retrieval Strategy
- Exact queries (names, dates, codes) → `grep` the file system
- Fuzzy/semantic queries → `python3 scripts/memory_retrieval_strategy.py "<query>"`
- Tag search → `python3 scripts/memory_tag_search.py "<category>:<value>"`

### Tagging Convention
When writing memory entries, tag important lines:
  [人物:name] [类型:type] [地点:place] [项目:project] [情绪:mood]

HEARTBEAT.md

Add periodic memory maintenance to your heartbeat checklist:

## Memory Maintenance (every few days)
- [ ] Run `python3 scripts/memory_lifecycle_manager.py` to archive old memories
- [ ] Run `python3 scripts/memory_tag_search.py --list-tags` to review tag health
- [ ] Check `memory/current/` file count — if growing large, verify archival is running

Cron (optional)

Set up monthly auto-archival:

# Run on the 1st of every month at 03:00
0 3 1 * * cd /path/to/workspace && python3 scripts/memory_lifecycle_manager.py

Customization

  • Archive threshold: Edit ARCHIVE_THRESHOLD_DAYS in memory_lifecycle_manager.py (default: 180 days)
  • Query patterns: Add new regex patterns to QUERY_TYPES in memory_retrieval_strategy.py
  • Memory directories: Add new modules to MODULES_TO_ARCHIVE in memory_lifecycle_manager.py
  • Tag categories: Tags are freeform — just use [category:value] in any .md file

Requirements

  • Python 3.8+
  • No external dependencies (stdlib only)

平台分布

OpenClaw

75.54%
按下载量换算3,636

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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