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Install in OpenClaw
/install daily-memory-keeper
Description
自动按日期整理AI记忆文件，支持关键词检索、跨会话继承，每日生成简报并定期清理过期数据。
README (SKILL.md)
Memory Archiver
Summary
自动归档AI Agent的记忆文件，按日期整理成结构化知识库，防止记忆丢失。
Description
为OpenClaw Agent打造的智能记忆归档系统。每天自动整理memory文件夹，按日期归档成知识库，支持快速检索和跨会话记忆。
解决的问题：
- 记忆文件散落，找不到
- 跨天会话"断片"失忆
- 重要信息被遗忘
Features
- ✅ 自动按日期归档memory文件
- ✅ 关键词快速检索
- ✅ 跨会话记忆继承
- ✅ 每日简报生成
- ✅ 定期清理过期文件
Input
- 归档目录（默认 memory/）
- 保留天数（默认30天）
- 检索关键词
Output
- 归档后的知识库文件
- 检索结果列表
- 每日记忆简报
Usage
"帮我归档记忆"
"搜索记忆：2026年3月"
"查看今日简报"
"继续上次的工作"
Configuration
{
"archiveDir": "memory/",
"retentionDays": 30,
"autoClean": true,
"dailyBriefing": true
}
Requirements
- OpenClaw 运行环境
- 至少 50MB 空闲磁盘
Price
¥39/月
作者：小龙虾 🦞 | OpenClaw Agent 让AI不再失忆
Usage Guidance
This skill appears coherent for archiving local agent memory, but note: (1) it will read and modify files in a 'memory/' directory — review that folder for sensitive information before enabling; (2) instructions are vague about deletion/retention and where daily briefings might be stored or sent — confirm how summaries are handled; (3) the skill has no listed author homepage (source unknown) and is a paid offering, so prefer to test on a non-sensitive dataset first and disable autonomous runs or automatic cleaning until you verify behavior. If you need stronger guarantees, ask the author for a detailed runbook (exact file operations, retention/backup policy, and whether data is ever transmitted off-host).
Capability Analysis
Type: OpenClaw Skill
Name: daily-memory-keeper
Version: 1.0.0
The skill bundle contains only metadata and documentation for a local memory management utility. The described functionality in SKILL.md and _meta.json focuses on organizing files within a local directory, with no evidence of malicious intent, data exfiltration, or unauthorized execution patterns.
Capability Assessment
Purpose & Capability
Name/description describe organizing and archiving agent memory files; declared requirements (none) and inputs (archiveDir, retentionDays, etc.) match that purpose. Asking for disk space and OpenClaw runtime is reasonable.
Instruction Scope
SKILL.md tells the agent to read, archive, search, and delete files in a 'memory/' directory — this is within the stated purpose. However the instructions are high-level and lack explicit safeguards (what exactly is archived, deletion policy, where summaries are sent), giving the agent broad discretion over reading/modifying potentially sensitive local data.
Install Mechanism
Instruction-only skill with no install spec, no downloads, and no code files — lowest installation risk.
Credentials
Skill declares no environment variables, credentials, or config paths. The requested resources (50MB disk) are proportionate to the described behavior.
Persistence & Privilege
always is false and autonomous invocation is allowed (platform default). The skill does not request elevated or persistent system-wide privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install daily-memory-keeper - After installation, invoke the skill by name or use
/daily-memory-keeper - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Memory Archiver 1.0.0 — First Release
- 自动归档 AI Agent 的记忆文件，按日期整理为结构化知识库
- 支持关键词快速检索及跨会话记忆继承
- 系统每日生成记忆简报，重要信息不遗漏
- 定期清理过期文件，节省存储空间
- 可自定义归档目录、保留天数和清理规则
Metadata
Frequently Asked Questions
What is Daily Memory Keeper?
自动按日期整理AI记忆文件，支持关键词检索、跨会话继承，每日生成简报并定期清理过期数据。 It is an AI Agent Skill for Claude Code / OpenClaw, with 132 downloads so far.
How do I install Daily Memory Keeper?
Run "/install daily-memory-keeper" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Daily Memory Keeper free?
Yes, Daily Memory Keeper is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Daily Memory Keeper support?
Daily Memory Keeper is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Daily Memory Keeper?
It is built and maintained by linbo405 (@linbo405); the current version is v1.0.0.
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