memory-sync-cn

# 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

# 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"

# 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

score = (use_count)^β × e^(-λ × Δt) × strength

# 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

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

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

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

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