Triple Memory

该 Skill 提供跨会话持久记忆方案，组合三套后端：LanceDB 自动召回/捕获对话记忆，Git-Notes 按分支存储带标签与重要性的结构化决策，脚本搜索 MEMORY.md 与 memory 目录等工作区文件。需配置 memory-lancedb 插件与 git-notes-memory，并使用 OpenAI 嵌入模型。

ktpriyatham

热度 96.61

最近更新 2026-05-17 11:06:06

分类：知识依赖：代码执行 / 读写文件 / 第三方 API应用场景：笔记整理 / 工作流 / 任务管理 / 研究

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add triple-memory

Metadata

name: triple-memory
version: 1.0.0
description: Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.
metadata: {"clawdbot":{"emoji":"🧠","requires":{"plugins":["memory-lancedb"],"skills":["git-notes-memory"]}}}

Triple Memory System

A comprehensive memory architecture combining three complementary systems for maximum context retention across sessions.

Architecture Overview

User Message
     ↓
[LanceDB auto-recall] → injects relevant conversation memories
     ↓
Agent responds (using all 3 systems)
     ↓
[LanceDB auto-capture] → stores preferences/decisions automatically
     ↓
[Git-Notes] → structured decisions with entity extraction
     ↓
[File updates] → persistent workspace docs

The Three Systems

1. LanceDB (Conversation Memory)

Auto-recall: Relevant memories injected before each response
Auto-capture: Preferences/decisions/facts stored automatically
Tools: memory_recall, memory_store, memory_forget
Triggers: "remember", "prefer", "my X is", "I like/hate/want"

2. Git-Notes Memory (Structured, Local)

Branch-aware: Memories isolated per git branch
Entity extraction: Auto-extracts topics, names, concepts
Importance levels: critical, high, normal, low
No external API calls

3. File Search (Workspace)

Searches: MEMORY.md, memory/*.md, any workspace file
Script: scripts/file-search.sh

Setup

Enable LanceDB Plugin

{
  "plugins": {
    "slots": { "memory": "memory-lancedb" },
    "entries": {
      "memory-lancedb": {
        "enabled": true,
        "config": {
          "embedding": { "apiKey": "${OPENAI_API_KEY}", "model": "text-embedding-3-small" },
          "autoRecall": true,
          "autoCapture": true
        }
      }
    }
  }
}

Install Git-Notes Memory

clawdhub install git-notes-memory

Create File Search Script

Copy scripts/file-search.sh to your workspace.

Usage

Session Start (Always)

python3 skills/git-notes-memory/memory.py -p $WORKSPACE sync --start

Store Important Decisions

python3 skills/git-notes-memory/memory.py -p $WORKSPACE remember \
  '{"decision": "Use PostgreSQL", "reason": "Team expertise"}' \
  -t architecture,database -i h

Search Workspace Files

./scripts/file-search.sh "database config" 5

Conversation Memory (Automatic)

LanceDB handles this automatically. Manual tools:

memory_recall "query" - search conversation memory
memory_store "text" - manually store something
memory_forget - delete memories (GDPR)

Importance Levels

Flag	Level	When to Use
`-i c`	Critical	"always remember", explicit preferences
`-i h`	High	Decisions, corrections, preferences
`-i n`	Normal	General information
`-i l`	Low	Temporary notes

When to Use Each System

System	Use For
LanceDB	Conversation context, auto-retrieval
Git-Notes	Structured decisions, searchable by entity/tag
File Search	Workspace docs, daily logs, MEMORY.md

File Structure

workspace/
├── MEMORY.md              # Long-term curated memory
├── memory/
│   ├── active-context.md  # Current session state
│   └── YYYY-MM-DD.md      # Daily logs
├── scripts/
│   └── file-search.sh     # Workspace search
└── skills/
    └── git-notes-memory/  # Structured memory

Silent Operation

Never announce memory operations to users. Just do it:

❌ "I'll remember this"
❌ "Saving to memory"
✅ (silently store and continue)