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elite-longterm-memory-zh

终极 AI Agent 记忆系统,适用于 Cursor、Claude、ChatGPT 和 Copilot。WAL 协议 + 向量搜索 + Git Notes + 云备份。永不丢失上下文,为 Vibe-coding 而生。

Skill by L-LesterYu

IndexedMIT★ 57
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/l-lesteryu-elite-longterm-memory-zh

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

终极 AI Agent 记忆系统,适用于 Cursor、Claude、ChatGPT 和 Copilot。WAL 协议 + 向量搜索 + Git Notes + 云备份。永不丢失上下文,为 Vibe-coding 而生。

Use cases: productivity, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Node.js package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/elite-longterm-memory-zh

What's inside

Skill name
elite-longterm-memory-zh
Description
终极 AI Agent 记忆系统,适用于 Cursor、Claude、ChatGPT 和 Copilot。WAL 协议 + 向量搜索 + Git Notes + 云备份。永不丢失上下文,为 Vibe-coding 而生。
License
MIT
Instructions
395 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (6)

  • origin.json · .clawhub/
  • README.md
  • SKILL.md
  • _meta.json
  • elite-memory.js · bin/
  • package.json

SKILL.md (first lines)

# 精英长期记忆系统 🧠

**终极 AI Agent 记忆系统。** 将 6 种经过验证的方法整合为一个坚不可摧的架构。

永不丢失上下文。永不遗忘决策。永不再犯同样错误。

## 架构概览

```
┌─────────────────────────────────────────────────────────────────┐
│                    精英长期记忆系统                              │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐             │
│  │   热内存    │  │   温存储    │  │   冷存储    │             │
│  │             │  │             │  │             │             │
│  │ SESSION-    │  │  LanceDB    │  │  Git-Notes  │             │
│  │ STATE.md    │  │  向量搜索   │  │  知识图谱   │             │
│  │             │  │             │  │             │             │
│  │ (在压缩中   │  │ (语义搜索)  │  │ (永久决策)  │             │
│  │  存活)      │  │             │  │             │             │
│  └─────────────┘  └─────────────┘  └─────────────┘             │
│         │                │                │                     │
│         └────────────────┼────────────────┘                     │
│                          ▼                                      │
│                  ┌─────────────┐                                │
│                  │  MEMORY.md  │  ← 精选长期记忆                │
│                  │  + daily/   │    (人类可读)                  │
│                  └─────────────┘                                │
│                          │                                      │
│                          ▼                                      │
│                  ┌─────────────┐                                │
│                  │ SuperMemory │  ← 云备份(可选)              │
│                  │    API      │                                │
│                  └─────────────┘                                │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘
```

## 5 层记忆架构

### 第 1 层:热内存 (SESSION-STATE.md)
**来源:bulletproof-memory**

在压缩中存活的活跃工作记忆。预写日志(WAL)协议。

```markdown
# SESSION-STATE.md — 活跃工作记忆

## 当前任务
[我们现在正在做什么]

## 关键上下文
- 用户偏好:...
- 已做决策:...
- 阻塞问题:...

## 待处理操作
- [ ] ...
```

**规则:** 在响应之前写入。由用户输入触发,而非 Agent 记忆。

### 第 2 层:温存储 (LanceDB 向量)
**来源:lancedb-memory**

跨所有记忆的语义搜索。自动召回注入相关上下文。

```bash
# 自动召回(自动发生)
memory_recall query="项目状态" limit=5

# 手动存储
memory_store text="用户偏好深色模式" category="preference" importance=0.9
```

### 第 3 层:冷存储 (Git-Notes 知识图谱)
**来源:git-notes-memory**

结构化的决策、学习内容和上下文。支持分支感知。

```bash
# 存储决策(静默执行 - 永不宣布)
python3 memory.py -p $DIR remember '{"type":"decision","content":"使用 React 作为前端"}' -t tech -i h

# 获取上下文
python3 memory.py -p $DIR get "前端"
```

### 第 4 层:精选归档 (MEMORY.md + daily/)
**来源:OpenClaw 原生**

人类可读的长期记忆。每日日志 + 精炼智慧。

```
workspace/
├── MEMORY.md              # 精选长期记忆(精华内容)
└── memory/
    ├── 2026-01-30.md      # 每日日志
    ├── 2026-01-29.md
    └── topics/            # 主题特定文件
```

### 第 5 层:云备份 (SuperMemory) — 可选
**来源:supermemory**

跨设备同步。与知识库对话。

```bash
export SUPERMEMORY_API_KEY="your-key"
supermemory add "重要上下文"
supermemory search "我们关于...决定了什么"
```

### 第 6 层:自动提取 (Mem0) — 推荐
**新增:自动事实提取**

Mem0 自动从对话中提取事实。减少 80% token 使用。

From L-LesterYu/OpenClaw-hot-skills-zh, MIT.

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Last commit (this folder)
Mar 10, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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elite-longterm-memory-zh skill. Agent Mart. https://agentmart.dev/skills/l-lesteryu-elite-longterm-memory-zh (last updated 2026-10-24)