memory-sync-cn

记忆同步系统 - 自动同步 MEMORY.md 与 CortexGraph,支持遗忘曲线和智能检索

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Install skill "memory-sync-cn" with this command: npx skills add guohongbin-git/memory-sync-cn

记忆同步系统

自动同步 OpenClaw 记忆系统与 CortexGraph(带遗忘曲线)。

架构

MEMORY.md (长期记忆)
     ↕
CortexGraph (智能层)
     ↕
memory/YYYY-MM-DD.md (每日日志)

同步脚本

1. 导入 MEMORY.md 到 CortexGraph

# 运行同步
./scripts/sync-memory.sh

2. 导入每日日志

# 同步今天的日志
./scripts/sync-daily.sh

# 同步指定日期
./scripts/sync-daily.sh 2026-02-18

3. 晋升高价值记忆

# 查看晋升候选
mcporter call cortexgraph.promote_memory auto_detect=true dry_run=true

# 执行晋升
mcporter call cortexgraph.promote_memory auto_detect=true

CortexGraph 工具

核心操作

# 保存记忆
mcporter call cortexgraph.save_memory content="..." tags='["tag1"]' entities='["Entity1"]'

# 搜索记忆
mcporter call cortexgraph.search_memory query="关键词" top_k=5

# 强化记忆(减缓衰减)
mcporter call cortexgraph.touch_memory memory_id="UUID" boost_strength=true

# 查看知识图谱
mcporter call cortexgraph.read_graph limit=10

智能分析

# 分析是否值得记住
mcporter call cortexgraph.analyze_message message="用户说的话"

# 分析是否需要搜索
mcporter call cortexgraph.analyze_for_recall message="用户说的话"

# 自动回忆
mcporter call cortexgraph.auto_recall_process_message message="用户说的话"

维护

# 垃圾回收(删除低分记忆)
mcporter call cortexgraph.gc dry_run=true

# 合并相似记忆
mcporter call cortexgraph.consolidate_memories auto_detect=true mode=preview

# 生成嵌入向量
mcporter call cortexgraph.backfill_embeddings dry_run=true

遗忘曲线算法

CortexGraph 使用 Ebbinghaus 遗忘曲线:

score = (use_count)^β × e^(-λ × Δt) × strength
  • β = 0.6(使用频率权重)
  • λ = ln(2) / half_life(衰减常数,默认 3 天)
  • strength = 1.0-2.0(重要性)

记忆会自然衰减,除非:

  • 被引用(touch_memory)
  • 被搜索到(auto_recall)
  • 晋升到长期记忆(promote_memory)

配置

编辑 ~/.config/cortexgraph/.env

# 存储路径
CORTEXGRAPH_STORAGE_PATH=~/.config/cortexgraph/jsonl

# 衰减参数
CORTEXGRAPH_DECAY_MODEL=power_law
CORTEXGRAPH_PL_HALFLIFE_DAYS=3.0

# 阈值
CORTEXGRAPH_FORGET_THRESHOLD=0.05
CORTEXGRAPH_PROMOTE_THRESHOLD=0.65

# 长期记忆(Obsidian)
LTM_VAULT_PATH=~/Documents/Obsidian/Vault

使用场景

1. 对话中自动记住

# 分析消息
mcporter call cortexgraph.analyze_message message="用户说..."
# 如果 should_save=true,则保存

2. 对话中自动回忆

# 分析消息
mcporter call cortexgraph.analyze_for_recall message="用户问..."
# 如果 should_search=true,则搜索

3. 定期维护

# 每周运行
mcporter call cortexgraph.gc
mcporter call cortexgraph.consolidate_memories auto_detect=true mode=apply

与 OpenClaw 集成

CortexGraph 已通过 mcporter 配置:

// ~/.openclaw/workspace/config/mcporter.json
{
  "cortexgraph": {
    "command": "/home/ghb/.local/bin/cortexgraph",
    "description": "Temporal memory system for AI with Ebbinghaus forgetting curve"
  }
}

最佳实践

  1. 重要信息 strength=1.5-2.0(用户偏好、关键决策)
  2. 普通信息 strength=1.0(日常对话)
  3. 临时信息 strength=0.5(上下文相关)
  4. 每周维护:GC + 合并 + 晋升
  5. 每月检查:调整衰减参数

版本: 1.0.0 作者: 赚钱小能手

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