memory-optimizer-base
多Agent记忆管理系统 - 开放协作的知识库解决方案 支持私有+公共双层记忆空间,自动生成每日总结,跨Agent知识检索
Best use case
memory-optimizer-base is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
多Agent记忆管理系统 - 开放协作的知识库解决方案 支持私有+公共双层记忆空间,自动生成每日总结,跨Agent知识检索
Teams using memory-optimizer-base should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/memory-optimizer-base/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How memory-optimizer-base Compares
| Feature / Agent | memory-optimizer-base | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
多Agent记忆管理系统 - 开放协作的知识库解决方案 支持私有+公共双层记忆空间,自动生成每日总结,跨Agent知识检索
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Multi-Agent Memory Optimizer
> 让每个 AI Agent 拥有独立记忆,同时共享公共知识库
## 🌟 核心价值
- **隐私保护**:每个 Agent 独立记忆空间,互不干扰
- **知识传承**:重要经验发布到公共空间,其他 Agent 可检索使用
- **自动化**:每日自动生成总结(通过 crontab),减少人工负担
- **开箱即用**:完整工具链,5 分钟快速部署
---
## 📦 安装
```bash
# 1. 进入 skills 目录
cd ~/.npm-global/lib/node_modules/@qingchencloud/openclaw-zh/skills/
# 2. 确保此技能目录存在
# memory-optimizer-base/
# 3. 初始化你的 Agent
./memory-optimizer-base/memory_optimizer.py init --agent <your_agent_id>
```
---
## 🎯 核心工作流
```
1. OpenClaw 日常会话 → 记录到 memory/YYYY-MM-DD.md
2. 每日 23:00 自动 summarize → 生成 medium-term/YYYY-MM-DD.md
3. 人工确认内容 → 执行 upload → 发布到 public/<agent>/<date>/
4. 任何 Agent 可 search-public → 获取其他 Agent 的经验
```
---
## 🔨 命令速查
```bash
# 初始化
./memory_optimizer.py init --agent xiaotian
# 手动生成总结(测试用)
./memory_optimizer.py summarize --agent xiaotian --date 2026-04-06
# 上传到公共空间
./memory_optimizer.py upload --agent xiaotian --date 2026-04-06 --title "事件标题"
# 搜索公共知识
./memory_optimizer.py search-public "关键词"
# 查看私有记忆
./memory_optimizer.py private list --agent xiaotian
# 分析系统状态
./memory_optimizer.py analyze --agent xiaotian
# 配置管理
./memory_optimizer.py config --set memory.sync_enabled=true
```
---
## ⚙️ 配置
编辑 `config/default.json`:
```json
{
"memory": {
"base_path": "~/.openclaw/workspace-xiaotian",
"private_root": "memory/private",
"public_root": "memory/public",
"medium_term_retention_days": 1
},
"summarizer": {
"template": "...", // 自定义输出格式
},
"upload": {
"require_upload_confirm": true // 发布前是否需要人工确认
}
}
```
---
## 📂 文件结构
```
memory-optimizer-base/
├── memory_optimizer.py # 主程序
├── .gitignore # 隐私保护
├── README.md # 详细文档
├── SKILL.md # 本文档
├── config/
│ ├── default.json # 默认配置
│ └── agents/ # 各 Agent 配置(自动生成)
└── lib/ # 核心模块
├── analyzer.py
├── summarizer.py
├── uploader.py
├── retriever.py
├── optimizer.py
├── tierer.py
└── sync.py
```
---
## 🔐 安全与隐私
- ✅ 所有真实记忆文件(`memory/`、`.openclaw/`)已在 `.gitignore` 中排除
- ✅ 默认上传需人工确认,避免误发
- ✅ 私有空间严格隔离,公共空间仅包含主动分享的内容
- ⚠️ 公共空间内容永久可见,发布前请检查
---
## 📖 完整文档
详见 [README.md](./README.md)
---
## 🤝 贡献
欢迎 Issue 和 PR!
---
**版本**: 0.2.0 | **许可**: MIT-0Related Skills
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