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elite memory skill

Name: elite memory skill
Author: renguanjie

作者 renguanjie · GitHub ↗ · v1.0.1 · MIT-0

cross-platform ⚠ suspicious

301

总下载

当前安装

版本数

在 OpenClaw 中安装

/install elite-memory-skill

功能描述

终极 AI 记忆系统 - WAL 协议 + 每日记忆 + 长期记忆 + GitHub 自动同步 + 飞书通知

使用说明 (SKILL.md)

Elite Memory - 终极 AI 记忆系统

为 AI Agent 打造的完整记忆管理系统，支持双层记忆架构、GitHub 自动同步、飞书通知。

核心功能

双层记忆架构

当日对话 → memory/YYYY-MM-DD-temp.md (临时记忆，实时写入)
              ↓
         次日 08:00
              ↓
    分析临时记忆 → 提取关键点
              ↓
    ┌───────────┴───────────┐
    ↓                       ↓
memory/YYYY-MM-DD.md   MEMORY.md
(正式日记)            (长期记忆提炼)

自动化任务

时间	任务	脚本
每日 23:55	Git 同步到 GitHub	`sync-memory-to-github.sh`
每日 08:00	读取昨日记忆 + 创建今日记忆	`morning-memory-read.sh`
每次对话后	实时写入临时记忆	手动调用 `analyze-memory.sh`

使用方法

初始化记忆系统

# 1. 创建记忆目录
node scripts/init.mjs

# 2. 配置 GitHub remote
gh repo create ai-memory --private
git remote add memory [email protected]:username/ai-memory.git

# 3. 配置飞书通知 (可选)
export FEISHU_USER_ID="ou_xxxxx"

记忆操作

# 分析对话并写入临时记忆
node scripts/analyze.mjs "对话内容" --topic "主题"

# 手动同步到 GitHub
node scripts/sync.mjs

# 查看记忆状态
node scripts/status.mjs

定时任务配置

# 添加到 crontab
crontab -e

# 每日 23:55 同步
55 23 * * * ~/.openclaw/workspace/scripts/sync-memory-to-github.sh

# 每日 08:00 读取
0 8 * * * ~/.openclaw/workspace/scripts/morning-memory-read.sh

记忆文件结构

workspace/
├── MEMORY.md                      # 长期记忆 (curated)
├── SESSION-STATE.md               # 会话状态
└── memory/
    ├── YYYY-MM-DD-temp.md         # 临时记忆 (当日)
    ├── YYYY-MM-DD.md              # 正式记忆 (归档后)
    ├── projects/
    │   └── [project-name].md      # 项目记忆
    ├── skills/
    │   └── [skill-name].md        # 技能学习记忆
    └── people/
        └── [person-name].md       # 人员记忆

飞书通知

配置 FEISHU_USER_ID 环境变量后，同步完成会自动发送通知：

✅ 同步成功：包含变更详情
❌ 同步失败：包含错误信息

WAL 协议 (Write-Ahead Logging)

记忆写入规则：

用户表达偏好 → 立即写入 MEMORY.md → 再回应
用户做出决策 → 立即写入当日记忆 + MEMORY.md → 再回应
发现错误/教训 → 立即写入当日记忆 → 再回应
项目相关上下文 → 写入 memory/projects/[project].md

故障排查

日志位置

# 同步日志
tail -f ~/.openclaw/workspace/logs/memory-sync.log

# 晨间读取日志
tail -f ~/.openclaw/workspace/logs/memory-morning.log

常见问题

Q: Git 推送失败 A: 检查网络连接，运行 git pull --rebase memory main 后再试

Q: 飞书通知不发送 A: 检查 FEISHU_USER_ID 是否配置正确

Q: 记忆文件丢失 A: 从 GitHub 恢复：git pull memory main

相关资源

GitHub 仓库：https://github.com/renguanjie/ai-memory
文档：https://docs.openclaw.ai/memory

安全使用建议

This skill appears to be a local memory manager that writes daily memory files and can push them to a GitHub repo and notify a Feishu user. Before installing: 1) Inspect the package contents — SKILL.md references Node scripts (init.mjs, analyze.mjs, sync.mjs, status.mjs) that are not included; ask the publisher why they are missing or obtain the complete source. 2) Confirm you actually need 'node' on PATH — if the implementation is purely shell-based you can remove the node requirement. 3) Understand and control Git behavior: the scripts will git add/commit/push to whatever 'memory' remote you configure — do not configure a remote pointing to a public or sensitive repo until you’ve reviewed which files will be committed. 4) FEISHU_USER_ID is declared required in metadata but described as optional in docs — decide whether you want Feishu notifications and verify how the 'openclaw message' command will behave on your system. 5) If you install, review and run install.sh in a safe environment, and do not add the suggested crontab entries until you’ve tested the scripts manually. If the author can provide the missing Node scripts or a clear explanation for their absence, and clarify the FEISHU_USER_ID requirement, that would reduce concerns.

功能分析

Type: OpenClaw Skill Name: elite-memory-skill Version: 1.0.1 The elite-memory-skill is a structured memory management system that archives AI agent interactions into daily logs and long-term memory files. It includes scripts for automated synchronization with a user-configured private GitHub repository and optional Feishu notifications. The code logic in scripts like `sync-memory-to-github.sh` and `analyze-memory.sh` is consistent with the stated purpose of maintaining a persistent, version-controlled history of agent state and user preferences without any evidence of malicious intent or unauthorized data exfiltration.

能力评估

⚠ Purpose & Capability

The skill claims a Node-based workflow (SKILL.md shows node scripts: init.mjs, analyze.mjs, sync.mjs, status.mjs) and declares 'node' as a required binary, but the package only includes Bash scripts (analyze-memory.sh, sync-memory-to-github.sh, morning-memory-read.sh). Requiring 'node' and advertising Node scripts without those files is inconsistent and could indicate missing/altered files or sloppy packaging. FEISHU_USER_ID is declared required in metadata but SKILL.md describes it as optional — another mismatch.

⚠ Instruction Scope

Runtime instructions and the included shell scripts read and write files under ~/.openclaw/workspace (memory files, SESSION-STATE.md, MEMORY.md), run git operations (add/commit/push/pull) and attempt to send notifications via an 'openclaw' command to Feishu using FEISHU_USER_ID. Those actions are coherent with a memory-sync skill, but the SKILL.md instructs users to run Node scripts that are not present. The scripts will push local data to a Git remote you must configure — that can leak personal data to GitHub if misconfigured, so the push behavior should be explicitly reviewed before use.

✓ Install Mechanism

No remote downloads or package installs. install.sh simply copies local files into the target workspace and makes script files executable. This is low-risk compared to installs that fetch arbitrary archives from the network.

⚠ Credentials

The only declared environment requirement is FEISHU_USER_ID (primaryEnv), which aligns with Feishu notifications, but SKILL.md treats Feishu config as optional. 'git' is required and used; 'node' is declared required but not used by the provided scripts — disproportionate. There's no request for unrelated credentials, but you should verify whether FEISHU_USER_ID must be set for operation and why node is listed.

✓ Persistence & Privilege

The skill is not set to always:true and does not request persistent platform-wide privileges. Installation copies files into the user's workspace and suggests adding cron entries; it does not modify other skills or system-wide agent settings.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install elite-memory-skill
安装完成后，直接呼叫该 Skill 的名称或使用 /elite-memory-skill 触发
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

v1.0.1

- No user-visible changes in this release. - Version bump only; documentation, features, and functionality remain unchanged.

v1.0.0

Elite Memory Skill 1.0.0 – Initial Release - Implements a two-tier memory architecture: daily (temporary and formal) and long-term storage. - Enables automated GitHub sync and Feishu notifications for memory events. - Provides scripts for memory analysis, synchronization, status checks, and initialization. - Integrates scheduled tasks for daily sync and memory review. - Documents memory structure, operations, WAL write protocol, troubleshooting, and setup instructions.

元数据

Slug elite-memory-skill

版本 1.0.1

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 2

常见问题