OpenClaw 完整备份 - 2026-03-21

vector_memory/backups/manifest_20260321_145354.json

@@ -0,0 +1,10 @@
+{
+  "backup_time": "20260321_145354",
+  "files": {
+    "json": "backups/memory_backup_20260321_145354.json",
+    "markdown": "backups/memory_backup_20260321_145354.md",
+    "vector": "backups/vector_20260321_145354",
+    "timestamp": "20260321_145354"
+  },
+  "total_memories": 20
+}

vector_memory/backups/manifest_20260321_151149.json

@@ -0,0 +1,10 @@
+{
+  "backup_time": "20260321_151149",
+  "files": {
+    "json": "backups/memory_backup_20260321_151149.json",
+    "markdown": "backups/memory_backup_20260321_151149.md",
+    "vector": "backups/vector_20260321_151149",
+    "timestamp": "20260321_151149"
+  },
+  "total_memories": 20
+}

vector_memory/backups/memory_backup_20260321_145354.json

@@ -0,0 +1,309 @@
+{
+  "version": "1.0",
+  "export_time": "2026-03-21T14:53:54.981182",
+  "total_count": 20,
+  "memories": [
+    {
+      "id": "58099dc0-0821-4160-8c0a-2318872d7f97",
+      "content": "向量记忆系统架构：硅基流动BGE-M3 + Chroma + SQLite",
+      "metadata": {
+        "tags": [
+          "系统",
+          "向量"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:19",
+      "updated_at": "2026-03-21 06:53:19"
+    },
+    {
+      "id": "19609b85-9301-499d-bfcc-54f80bee70ca",
+      "content": "潜力股池：中钨高新000657、北方稀土600111、南都电源300068、宁德时代300750、中芯国际688981",
+      "metadata": {
+        "tags": [
+          "股票",
+          "潜力股"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "023e98c3-5209-4f9c-aad4-abef1990d80b",
+      "content": "飞书应用 App ID: cli_a93815b250b9dcb5",
+      "metadata": {
+        "tags": [
+          "配置",
+          "飞书"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "f2687443-df55-4e30-9a7e-393fa0482189",
+      "content": "企业微信Bot ID: aibQ3hBrPtfh1C26UZA-KNdq1CAX_uj9GDW",
+      "metadata": {
+        "tags": [
+          "配置",
+          "企微"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "0befb952-a325-4220-a4c0-2e04ba4aa0b1",
+      "content": "股票监控配置：数据源腾讯财经，监控频率交易时间5分钟/收盘后30分钟",
+      "metadata": {
+        "tags": [
+          "股票",
+          "监控"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "30bf76a7-d20c-4c5d-95ea-58c4fc48a8ca",
+      "content": "岩山科技 002195：成本价10.68元，200股，盈利≥5%跑路，目标价11.21元",
+      "metadata": {
+        "tags": [
+          "股票",
+          "岩山科技"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "69b26384-1c18-42a8-bc72-d5918bde5be0",
+      "content": "云天化 600096：成本价42.00元，涨跌±5%预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "云天化"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "2ccf18a3-bfba-4e4e-a59f-fcdb56c0e903",
+      "content": "仕佳光子 688313：成本价15.00元，涨跌±5%预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "仕佳光子"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "d08bcddc-bb13-4eaa-b278-54096bd806cf",
+      "content": "铜陵有色 000630：成本价7.90元，1400股，跌破6.80元预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "铜陵有色"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "a9aff0cd-2f2e-4c94-8750-5fb00ce6ab71",
+      "content": "用户档案：称呼欢哥，技术栈Python/JavaScript/Linux，偏好直接答案+可执行代码",
+      "metadata": {
+        "tags": [
+          "用户",
+          "偏好"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "ea68fe7b-6463-4fe7-abf4-b0f03f3300d8",
+      "content": "银豹系统采购订单遇到确定按钮无法点击的问题",
+      "metadata": {
+        "tags": [
+          "问题",
+          "银豹"
+        ],
+        "状态": "待解决"
+      },
+      "importance": 2,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "23f398b5-339a-4ab3-9651-7c48cfa00979",
+      "content": "学习了在 AMD RX 580 上部署 Ollama 的方案",
+      "metadata": {
+        "tags": [
+          "学习",
+          "Ollama",
+          "GPU"
+        ],
+        "重要性": "中"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "245ec74a-f16d-4dcd-a993-1caa6fe691c2",
+      "content": "用户偏好：喜欢直接答案+可执行代码，解释要简练",
+      "metadata": {
+        "tags": [
+          "偏好",
+          "交互"
+        ],
+        "来源": "USER.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "86d1b3b0-46f6-4a98-92c2-f01b01195dff",
+      "content": "关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "铜陵有色"
+        ],
+        "类型": "投资"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "574de41e-e3dd-488e-a181-16a4f9b1b1dd",
+      "content": "2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构",
+      "metadata": {
+        "tags": [
+          "系统部署",
+          "向量"
+        ],
+        "项目": "记忆系统"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "b48b18fa-d12c-43a9-a2e7-a958b1a1c693",
+      "content": "银豹系统采购订单遇到确定按钮无法点击的问题",
+      "metadata": {
+        "tags": [
+          "问题",
+          "银豹"
+        ],
+        "状态": "待解决"
+      },
+      "importance": 2,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    },
+    {
+      "id": "ca5d18fd-d298-4e46-83cc-2b2a03264b57",
+      "content": "学习了在 AMD RX 580 上部署 Ollama 的方案",
+      "metadata": {
+        "tags": [
+          "学习",
+          "Ollama",
+          "GPU"
+        ],
+        "重要性": "中"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    },
+    {
+      "id": "22a5569c-212f-4a27-8e9f-54baa3ef28c3",
+      "content": "用户偏好：喜欢直接答案+可执行代码，解释要简练",
+      "metadata": {
+        "tags": [
+          "偏好",
+          "交互"
+        ],
+        "来源": "USER.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    },
+    {
+      "id": "2eceba52-a885-43fb-9464-36a03edc15df",
+      "content": "关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "铜陵有色"
+        ],
+        "类型": "投资"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    },
+    {
+      "id": "d91a2f68-76d2-46d5-aa2b-7ee72ee22444",
+      "content": "2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构",
+      "metadata": {
+        "tags": [
+          "系统部署",
+          "向量"
+        ],
+        "项目": "记忆系统"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    }
+  ]
+}

vector_memory/backups/memory_backup_20260321_145354.md

@@ -0,0 +1,226 @@
+# 🧠 OpenClaw 向量记忆备份
+
+> 导出时间: 2026-03-21 14:53:54
+> 总数量: 20 条
+
+---
+
+## 1. [⭐⭐⭐⭐] 向量记忆系统架构：硅基流动BGE-M3 + Chroma + SQLite...
+
+- **ID**: `58099dc0-0821-4160-8c0a-2318872d7f97`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 系统, 向量
+- **创建时间**: 2026-03-21 06:53:19
+- **内容**: 向量记忆系统架构：硅基流动BGE-M3 + Chroma + SQLite
+
+---
+
+## 2. [⭐⭐⭐] 潜力股池：中钨高新000657、北方稀土600111、南都电源300068、宁德时代300750、中芯国际688981...
+
+- **ID**: `19609b85-9301-499d-bfcc-54f80bee70ca`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 股票, 潜力股
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 潜力股池：中钨高新000657、北方稀土600111、南都电源300068、宁德时代300750、中芯国际688981
+
+---
+
+## 3. [⭐⭐⭐] 飞书应用 App ID: cli_a93815b250b9dcb5...
+
+- **ID**: `023e98c3-5209-4f9c-aad4-abef1990d80b`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 配置, 飞书
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 飞书应用 App ID: cli_a93815b250b9dcb5
+
+---
+
+## 4. [⭐⭐⭐] 企业微信Bot ID: aibQ3hBrPtfh1C26UZA-KNdq1CAX_uj9GDW...
+
+- **ID**: `f2687443-df55-4e30-9a7e-393fa0482189`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 配置, 企微
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 企业微信Bot ID: aibQ3hBrPtfh1C26UZA-KNdq1CAX_uj9GDW
+
+---
+
+## 5. [⭐⭐⭐⭐] 股票监控配置：数据源腾讯财经，监控频率交易时间5分钟/收盘后30分钟...
+
+- **ID**: `0befb952-a325-4220-a4c0-2e04ba4aa0b1`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 股票, 监控
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 股票监控配置：数据源腾讯财经，监控频率交易时间5分钟/收盘后30分钟
+
+---
+
+## 6. [⭐⭐⭐⭐⭐] 岩山科技 002195：成本价10.68元，200股，盈利≥5%跑路，目标价11.21元...
+
+- **ID**: `30bf76a7-d20c-4c5d-95ea-58c4fc48a8ca`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 股票, 岩山科技
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 岩山科技 002195：成本价10.68元，200股，盈利≥5%跑路，目标价11.21元
+
+---
+
+## 7. [⭐⭐⭐⭐] 云天化 600096：成本价42.00元，涨跌±5%预警...
+
+- **ID**: `69b26384-1c18-42a8-bc72-d5918bde5be0`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 股票, 云天化
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 云天化 600096：成本价42.00元，涨跌±5%预警
+
+---
+
+## 8. [⭐⭐⭐⭐] 仕佳光子 688313：成本价15.00元，涨跌±5%预警...
+
+- **ID**: `2ccf18a3-bfba-4e4e-a59f-fcdb56c0e903`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 股票, 仕佳光子
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 仕佳光子 688313：成本价15.00元，涨跌±5%预警
+
+---
+
+## 9. [⭐⭐⭐⭐⭐] 铜陵有色 000630：成本价7.90元，1400股，跌破6.80元预警...
+
+- **ID**: `d08bcddc-bb13-4eaa-b278-54096bd806cf`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 股票, 铜陵有色
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 铜陵有色 000630：成本价7.90元，1400股，跌破6.80元预警
+
+---
+
+## 10. [⭐⭐⭐⭐⭐] 用户档案：称呼欢哥，技术栈Python/JavaScript/Linux，偏好直接答案+可执行代码...
+
+- **ID**: `a9aff0cd-2f2e-4c94-8750-5fb00ce6ab71`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 用户, 偏好
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 用户档案：称呼欢哥，技术栈Python/JavaScript/Linux，偏好直接答案+可执行代码
+
+---
+
+## 11. [⭐⭐] 银豹系统采购订单遇到确定按钮无法点击的问题...
+
+- **ID**: `ea68fe7b-6463-4fe7-abf4-b0f03f3300d8`
+- **重要性**: 2/5
+- **层级**: hot
+- **标签**: 问题, 银豹
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 银豹系统采购订单遇到确定按钮无法点击的问题
+
+---
+
+## 12. [⭐⭐⭐] 学习了在 AMD RX 580 上部署 Ollama 的方案...
+
+- **ID**: `23f398b5-339a-4ab3-9651-7c48cfa00979`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 学习, Ollama, GPU
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 学习了在 AMD RX 580 上部署 Ollama 的方案
+
+---
+
+## 13. [⭐⭐⭐⭐⭐] 用户偏好：喜欢直接答案+可执行代码，解释要简练...
+
+- **ID**: `245ec74a-f16d-4dcd-a993-1caa6fe691c2`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 偏好, 交互
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 用户偏好：喜欢直接答案+可执行代码，解释要简练
+
+---
+
+## 14. [⭐⭐⭐⭐⭐] 关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警...
+
+- **ID**: `86d1b3b0-46f6-4a98-92c2-f01b01195dff`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 股票, 铜陵有色
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警
+
+---
+
+## 15. [⭐⭐⭐⭐] 2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构...
+
+- **ID**: `574de41e-e3dd-488e-a181-16a4f9b1b1dd`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 系统部署, 向量
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构
+
+---
+
+## 16. [⭐⭐] 银豹系统采购订单遇到确定按钮无法点击的问题...
+
+- **ID**: `b48b18fa-d12c-43a9-a2e7-a958b1a1c693`
+- **重要性**: 2/5
+- **层级**: hot
+- **标签**: 问题, 银豹
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 银豹系统采购订单遇到确定按钮无法点击的问题
+
+---
+
+## 17. [⭐⭐⭐] 学习了在 AMD RX 580 上部署 Ollama 的方案...
+
+- **ID**: `ca5d18fd-d298-4e46-83cc-2b2a03264b57`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 学习, Ollama, GPU
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 学习了在 AMD RX 580 上部署 Ollama 的方案
+
+---
+
+## 18. [⭐⭐⭐⭐⭐] 用户偏好：喜欢直接答案+可执行代码，解释要简练...
+
+- **ID**: `22a5569c-212f-4a27-8e9f-54baa3ef28c3`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 偏好, 交互
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 用户偏好：喜欢直接答案+可执行代码，解释要简练
+
+---
+
+## 19. [⭐⭐⭐⭐⭐] 关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警...
+
+- **ID**: `2eceba52-a885-43fb-9464-36a03edc15df`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 股票, 铜陵有色
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警
+
+---
+
+## 20. [⭐⭐⭐⭐] 2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构...
+
+- **ID**: `d91a2f68-76d2-46d5-aa2b-7ee72ee22444`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 系统部署, 向量
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构
+
+---

vector_memory/backups/memory_backup_20260321_151149.json

@@ -0,0 +1,309 @@
+{
+  "version": "1.0",
+  "export_time": "2026-03-21T15:11:49.229443",
+  "total_count": 20,
+  "memories": [
+    {
+      "id": "58099dc0-0821-4160-8c0a-2318872d7f97",
+      "content": "向量记忆系统架构：硅基流动BGE-M3 + Chroma + SQLite",
+      "metadata": {
+        "tags": [
+          "系统",
+          "向量"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:19",
+      "updated_at": "2026-03-21 06:53:19"
+    },
+    {
+      "id": "19609b85-9301-499d-bfcc-54f80bee70ca",
+      "content": "潜力股池：中钨高新000657、北方稀土600111、南都电源300068、宁德时代300750、中芯国际688981",
+      "metadata": {
+        "tags": [
+          "股票",
+          "潜力股"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "023e98c3-5209-4f9c-aad4-abef1990d80b",
+      "content": "飞书应用 App ID: cli_a93815b250b9dcb5",
+      "metadata": {
+        "tags": [
+          "配置",
+          "飞书"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "f2687443-df55-4e30-9a7e-393fa0482189",
+      "content": "企业微信Bot ID: aibQ3hBrPtfh1C26UZA-KNdq1CAX_uj9GDW",
+      "metadata": {
+        "tags": [
+          "配置",
+          "企微"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "0befb952-a325-4220-a4c0-2e04ba4aa0b1",
+      "content": "股票监控配置：数据源腾讯财经，监控频率交易时间5分钟/收盘后30分钟",
+      "metadata": {
+        "tags": [
+          "股票",
+          "监控"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "30bf76a7-d20c-4c5d-95ea-58c4fc48a8ca",
+      "content": "岩山科技 002195：成本价10.68元，200股，盈利≥5%跑路，目标价11.21元",
+      "metadata": {
+        "tags": [
+          "股票",
+          "岩山科技"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "69b26384-1c18-42a8-bc72-d5918bde5be0",
+      "content": "云天化 600096：成本价42.00元，涨跌±5%预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "云天化"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "2ccf18a3-bfba-4e4e-a59f-fcdb56c0e903",
+      "content": "仕佳光子 688313：成本价15.00元，涨跌±5%预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "仕佳光子"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "d08bcddc-bb13-4eaa-b278-54096bd806cf",
+      "content": "铜陵有色 000630：成本价7.90元，1400股，跌破6.80元预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "铜陵有色"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "a9aff0cd-2f2e-4c94-8750-5fb00ce6ab71",
+      "content": "用户档案：称呼欢哥，技术栈Python/JavaScript/Linux，偏好直接答案+可执行代码",
+      "metadata": {
+        "tags": [
+          "用户",
+          "偏好"
+        ],
+        "source": "MEMORY.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:53:18",
+      "updated_at": "2026-03-21 06:53:18"
+    },
+    {
+      "id": "ea68fe7b-6463-4fe7-abf4-b0f03f3300d8",
+      "content": "银豹系统采购订单遇到确定按钮无法点击的问题",
+      "metadata": {
+        "tags": [
+          "问题",
+          "银豹"
+        ],
+        "状态": "待解决"
+      },
+      "importance": 2,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "23f398b5-339a-4ab3-9651-7c48cfa00979",
+      "content": "学习了在 AMD RX 580 上部署 Ollama 的方案",
+      "metadata": {
+        "tags": [
+          "学习",
+          "Ollama",
+          "GPU"
+        ],
+        "重要性": "中"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "245ec74a-f16d-4dcd-a993-1caa6fe691c2",
+      "content": "用户偏好：喜欢直接答案+可执行代码，解释要简练",
+      "metadata": {
+        "tags": [
+          "偏好",
+          "交互"
+        ],
+        "来源": "USER.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "86d1b3b0-46f6-4a98-92c2-f01b01195dff",
+      "content": "关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "铜陵有色"
+        ],
+        "类型": "投资"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "574de41e-e3dd-488e-a181-16a4f9b1b1dd",
+      "content": "2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构",
+      "metadata": {
+        "tags": [
+          "系统部署",
+          "向量"
+        ],
+        "项目": "记忆系统"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:51:36",
+      "updated_at": "2026-03-21 06:51:36"
+    },
+    {
+      "id": "b48b18fa-d12c-43a9-a2e7-a958b1a1c693",
+      "content": "银豹系统采购订单遇到确定按钮无法点击的问题",
+      "metadata": {
+        "tags": [
+          "问题",
+          "银豹"
+        ],
+        "状态": "待解决"
+      },
+      "importance": 2,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    },
+    {
+      "id": "ca5d18fd-d298-4e46-83cc-2b2a03264b57",
+      "content": "学习了在 AMD RX 580 上部署 Ollama 的方案",
+      "metadata": {
+        "tags": [
+          "学习",
+          "Ollama",
+          "GPU"
+        ],
+        "重要性": "中"
+      },
+      "importance": 3,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    },
+    {
+      "id": "22a5569c-212f-4a27-8e9f-54baa3ef28c3",
+      "content": "用户偏好：喜欢直接答案+可执行代码，解释要简练",
+      "metadata": {
+        "tags": [
+          "偏好",
+          "交互"
+        ],
+        "来源": "USER.md"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    },
+    {
+      "id": "2eceba52-a885-43fb-9464-36a03edc15df",
+      "content": "关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警",
+      "metadata": {
+        "tags": [
+          "股票",
+          "铜陵有色"
+        ],
+        "类型": "投资"
+      },
+      "importance": 5,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    },
+    {
+      "id": "d91a2f68-76d2-46d5-aa2b-7ee72ee22444",
+      "content": "2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构",
+      "metadata": {
+        "tags": [
+          "系统部署",
+          "向量"
+        ],
+        "项目": "记忆系统"
+      },
+      "importance": 4,
+      "tier": "hot",
+      "created_at": "2026-03-21 06:49:48",
+      "updated_at": "2026-03-21 06:49:48"
+    }
+  ]
+}

vector_memory/backups/memory_backup_20260321_151149.md

@@ -0,0 +1,226 @@
+# 🧠 OpenClaw 向量记忆备份
+
+> 导出时间: 2026-03-21 15:11:49
+> 总数量: 20 条
+
+---
+
+## 1. [⭐⭐⭐⭐] 向量记忆系统架构：硅基流动BGE-M3 + Chroma + SQLite...
+
+- **ID**: `58099dc0-0821-4160-8c0a-2318872d7f97`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 系统, 向量
+- **创建时间**: 2026-03-21 06:53:19
+- **内容**: 向量记忆系统架构：硅基流动BGE-M3 + Chroma + SQLite
+
+---
+
+## 2. [⭐⭐⭐] 潜力股池：中钨高新000657、北方稀土600111、南都电源300068、宁德时代300750、中芯国际688981...
+
+- **ID**: `19609b85-9301-499d-bfcc-54f80bee70ca`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 股票, 潜力股
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 潜力股池：中钨高新000657、北方稀土600111、南都电源300068、宁德时代300750、中芯国际688981
+
+---
+
+## 3. [⭐⭐⭐] 飞书应用 App ID: cli_a93815b250b9dcb5...
+
+- **ID**: `023e98c3-5209-4f9c-aad4-abef1990d80b`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 配置, 飞书
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 飞书应用 App ID: cli_a93815b250b9dcb5
+
+---
+
+## 4. [⭐⭐⭐] 企业微信Bot ID: aibQ3hBrPtfh1C26UZA-KNdq1CAX_uj9GDW...
+
+- **ID**: `f2687443-df55-4e30-9a7e-393fa0482189`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 配置, 企微
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 企业微信Bot ID: aibQ3hBrPtfh1C26UZA-KNdq1CAX_uj9GDW
+
+---
+
+## 5. [⭐⭐⭐⭐] 股票监控配置：数据源腾讯财经，监控频率交易时间5分钟/收盘后30分钟...
+
+- **ID**: `0befb952-a325-4220-a4c0-2e04ba4aa0b1`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 股票, 监控
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 股票监控配置：数据源腾讯财经，监控频率交易时间5分钟/收盘后30分钟
+
+---
+
+## 6. [⭐⭐⭐⭐⭐] 岩山科技 002195：成本价10.68元，200股，盈利≥5%跑路，目标价11.21元...
+
+- **ID**: `30bf76a7-d20c-4c5d-95ea-58c4fc48a8ca`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 股票, 岩山科技
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 岩山科技 002195：成本价10.68元，200股，盈利≥5%跑路，目标价11.21元
+
+---
+
+## 7. [⭐⭐⭐⭐] 云天化 600096：成本价42.00元，涨跌±5%预警...
+
+- **ID**: `69b26384-1c18-42a8-bc72-d5918bde5be0`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 股票, 云天化
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 云天化 600096：成本价42.00元，涨跌±5%预警
+
+---
+
+## 8. [⭐⭐⭐⭐] 仕佳光子 688313：成本价15.00元，涨跌±5%预警...
+
+- **ID**: `2ccf18a3-bfba-4e4e-a59f-fcdb56c0e903`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 股票, 仕佳光子
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 仕佳光子 688313：成本价15.00元，涨跌±5%预警
+
+---
+
+## 9. [⭐⭐⭐⭐⭐] 铜陵有色 000630：成本价7.90元，1400股，跌破6.80元预警...
+
+- **ID**: `d08bcddc-bb13-4eaa-b278-54096bd806cf`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 股票, 铜陵有色
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 铜陵有色 000630：成本价7.90元，1400股，跌破6.80元预警
+
+---
+
+## 10. [⭐⭐⭐⭐⭐] 用户档案：称呼欢哥，技术栈Python/JavaScript/Linux，偏好直接答案+可执行代码...
+
+- **ID**: `a9aff0cd-2f2e-4c94-8750-5fb00ce6ab71`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 用户, 偏好
+- **创建时间**: 2026-03-21 06:53:18
+- **内容**: 用户档案：称呼欢哥，技术栈Python/JavaScript/Linux，偏好直接答案+可执行代码
+
+---
+
+## 11. [⭐⭐] 银豹系统采购订单遇到确定按钮无法点击的问题...
+
+- **ID**: `ea68fe7b-6463-4fe7-abf4-b0f03f3300d8`
+- **重要性**: 2/5
+- **层级**: hot
+- **标签**: 问题, 银豹
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 银豹系统采购订单遇到确定按钮无法点击的问题
+
+---
+
+## 12. [⭐⭐⭐] 学习了在 AMD RX 580 上部署 Ollama 的方案...
+
+- **ID**: `23f398b5-339a-4ab3-9651-7c48cfa00979`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 学习, Ollama, GPU
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 学习了在 AMD RX 580 上部署 Ollama 的方案
+
+---
+
+## 13. [⭐⭐⭐⭐⭐] 用户偏好：喜欢直接答案+可执行代码，解释要简练...
+
+- **ID**: `245ec74a-f16d-4dcd-a993-1caa6fe691c2`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 偏好, 交互
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 用户偏好：喜欢直接答案+可执行代码，解释要简练
+
+---
+
+## 14. [⭐⭐⭐⭐⭐] 关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警...
+
+- **ID**: `86d1b3b0-46f6-4a98-92c2-f01b01195dff`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 股票, 铜陵有色
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警
+
+---
+
+## 15. [⭐⭐⭐⭐] 2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构...
+
+- **ID**: `574de41e-e3dd-488e-a181-16a4f9b1b1dd`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 系统部署, 向量
+- **创建时间**: 2026-03-21 06:51:36
+- **内容**: 2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构
+
+---
+
+## 16. [⭐⭐] 银豹系统采购订单遇到确定按钮无法点击的问题...
+
+- **ID**: `b48b18fa-d12c-43a9-a2e7-a958b1a1c693`
+- **重要性**: 2/5
+- **层级**: hot
+- **标签**: 问题, 银豹
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 银豹系统采购订单遇到确定按钮无法点击的问题
+
+---
+
+## 17. [⭐⭐⭐] 学习了在 AMD RX 580 上部署 Ollama 的方案...
+
+- **ID**: `ca5d18fd-d298-4e46-83cc-2b2a03264b57`
+- **重要性**: 3/5
+- **层级**: hot
+- **标签**: 学习, Ollama, GPU
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 学习了在 AMD RX 580 上部署 Ollama 的方案
+
+---
+
+## 18. [⭐⭐⭐⭐⭐] 用户偏好：喜欢直接答案+可执行代码，解释要简练...
+
+- **ID**: `22a5569c-212f-4a27-8e9f-54baa3ef28c3`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 偏好, 交互
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 用户偏好：喜欢直接答案+可执行代码，解释要简练
+
+---
+
+## 19. [⭐⭐⭐⭐⭐] 关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警...
+
+- **ID**: `2eceba52-a885-43fb-9464-36a03edc15df`
+- **重要性**: 5/5
+- **层级**: hot
+- **标签**: 股票, 铜陵有色
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 关注了铜陵有色股票，成本价 7.90 元，跌破 6.80 元预警
+
+---
+
+## 20. [⭐⭐⭐⭐] 2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构...
+
+- **ID**: `d91a2f68-76d2-46d5-aa2b-7ee72ee22444`
+- **重要性**: 4/5
+- **层级**: hot
+- **标签**: 系统部署, 向量
+- **创建时间**: 2026-03-21 06:49:48
+- **内容**: 2026-03-21: 部署了向量记忆系统，采用硅基流动 BGE-M3 + Chroma + SQLite 架构
+
+---

vector_memory/memory_backup.py

@@ -0,0 +1,221 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+向量记忆系统 - 自动备份脚本
+支持：
+1. 导出到本地 JSON/Markdown
+2. 同步到飞书云盘
+3. 定时自动备份
+"""
+
+import os
+import sys
+import json
+import sqlite3
+import shutil
+from datetime import datetime
+from pathlib import Path
+
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+from vector_memory import VectorMemorySystem
+
+
+class MemoryBackup:
+    """记忆备份管理器"""
+    
+    def __init__(self, backup_dir: str = "./backups"):
+        self.backup_dir = Path(backup_dir)
+        self.backup_dir.mkdir(exist_ok=True)
+    
+    def export_json(self, vm: VectorMemorySystem, filepath: str = None) -> str:
+        """导出为 JSON 格式"""
+        if not filepath:
+            filepath = self.backup_dir / f"memory_backup_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
+        
+        # 从 SQLite 读取全部记忆
+        conn = sqlite3.connect(vm.db_path)
+        conn.row_factory = sqlite3.Row
+        cursor = conn.execute("SELECT * FROM memories ORDER BY created_at DESC")
+        
+        memories = []
+        for row in cursor.fetchall():
+            memories.append({
+                'id': row['id'],
+                'content': row['content'],
+                'metadata': json.loads(row['metadata']) if row['metadata'] else {},
+                'importance': row['importance'],
+                'tier': row['tier'],
+                'created_at': row['created_at'],
+                'updated_at': row['updated_at']
+            })
+        
+        conn.close()
+        
+        # 写入文件
+        backup_data = {
+            'version': '1.0',
+            'export_time': datetime.now().isoformat(),
+            'total_count': len(memories),
+            'memories': memories
+        }
+        
+        with open(filepath, 'w', encoding='utf-8') as f:
+            json.dump(backup_data, f, ensure_ascii=False, indent=2)
+        
+        print(f"✅ JSON 备份已保存: {filepath}")
+        return str(filepath)
+    
+    def export_markdown(self, vm: VectorMemorySystem, filepath: str = None) -> str:
+        """导出为 Markdown 格式（可读性好）"""
+        if not filepath:
+            filepath = self.backup_dir / f"memory_backup_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
+        
+        # 从 SQLite 读取
+        conn = sqlite3.connect(vm.db_path)
+        conn.row_factory = sqlite3.Row
+        cursor = conn.execute("SELECT * FROM memories ORDER BY created_at DESC")
+        
+        rows = cursor.fetchall()
+        conn.close()
+        
+        # 生成 Markdown
+        md_lines = [
+            "# 🧠 OpenClaw 向量记忆备份",
+            f"",
+            f"> 导出时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
+            f"> 总数量: {len(rows)} 条",
+            f"",
+            f"---",
+            f""
+        ]
+        
+        for i, row in enumerate(rows, 1):
+            metadata = json.loads(row['metadata']) if row['metadata'] else {}
+            tags = metadata.get('tags', [])
+            
+            md_lines.append(f"## {i}. [{'⭐' * row['importance']}] {row['content'][:60]}...")
+            md_lines.append(f"")
+            md_lines.append(f"- **ID**: `{row['id']}`")
+            md_lines.append(f"- **重要性**: {row['importance']}/5")
+            md_lines.append(f"- **层级**: {row['tier']}")
+            md_lines.append(f"- **标签**: {', '.join(tags) if tags else '无'}")
+            md_lines.append(f"- **创建时间**: {row['created_at']}")
+            md_lines.append(f"- **内容**: {row['content']}")
+            md_lines.append(f"")
+            md_lines.append(f"---")
+            md_lines.append(f"")
+        
+        with open(filepath, 'w', encoding='utf-8') as f:
+            f.write('\n'.join(md_lines))
+        
+        print(f"✅ Markdown 备份已保存: {filepath}")
+        return str(filepath)
+    
+    def backup_all(self, vm: VectorMemorySystem) -> dict:
+        """执行完整备份"""
+        timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+        
+        results = {
+            'json': None,
+            'markdown': None,
+            'vector': None,
+            'timestamp': timestamp
+        }
+        
+        # 1. JSON 备份
+        results['json'] = self.export_json(vm)
+        
+        # 2. Markdown 备份
+        results['markdown'] = self.export_markdown(vm)
+        
+        # 3. 向量数据库备份（复制整个目录）
+        vector_backup = self.backup_dir / f"vector_{timestamp}"
+        shutil.copytree(
+            os.path.dirname(vm.db_path),
+            vector_backup,
+            dirs_exist_ok=True
+        )
+        results['vector'] = str(vector_backup)
+        
+        # 生成备份清单
+        manifest = {
+            'backup_time': timestamp,
+            'files': results,
+            'total_memories': vm.count()
+        }
+        
+        manifest_file = self.backup_dir / f"manifest_{timestamp}.json"
+        with open(manifest_file, 'w', encoding='utf-8') as f:
+            json.dump(manifest, f, indent=2)
+        
+        print(f"\n📋 备份清单: {manifest_file}")
+        
+        return results
+    
+    def restore_from_json(self, json_file: str, vm: VectorMemorySystem = None):
+        """从 JSON 恢复记忆"""
+        with open(json_file, 'r', encoding='utf-8') as f:
+            data = json.load(f)
+        
+        if not vm:
+            api_key = os.getenv("SILICONFLOW_API_KEY")
+            vm = VectorMemorySystem(api_key=api_key)
+        
+        print(f"📥 开始恢复 {len(data['memories'])} 条记忆...")
+        
+        for mem in data['memories']:
+            try:
+                vm.add_memory(
+                    content=mem['content'],
+                    metadata=mem['metadata'],
+                    importance=mem['importance']
+                )
+            except Exception as e:
+                print(f"   ⚠️ 跳过重复: {mem['id']}")
+        
+        print(f"✅ 恢复完成！")
+
+
+def main():
+    import argparse
+    
+    parser = argparse.ArgumentParser(description="向量记忆备份工具")
+    subparsers = parser.add_subparsers(dest="command")
+    
+    # 导出命令
+    subparsers.add_parser("export-json", help="导出为 JSON")
+    subparsers.add_parser("export-markdown", help="导出为 Markdown")
+    subparsers.add_parser("backup", help="完整备份（JSON + Markdown + 向量库）")
+    
+    # 恢复命令
+    restore_parser = subparsers.add_parser("restore", help="从 JSON 恢复")
+    restore_parser.add_argument("file", help="备份文件路径")
+    
+    args = parser.parse_args()
+    
+    # 获取 API Key
+    api_key = os.getenv("SILICONFLOW_API_KEY")
+    if not api_key:
+        print("❌ 请设置 SILICONFLOW_API_KEY 环境变量")
+        sys.exit(1)
+    
+    # 初始化
+    vm = VectorMemorySystem(api_key=api_key)
+    backup = MemoryBackup()
+    
+    # 执行命令
+    if args.command == "export-json":
+        backup.export_json(vm)
+    elif args.command == "export-markdown":
+        backup.export_markdown(vm)
+    elif args.command == "backup":
+        backup.backup_all(vm)
+    elif args.command == "restore":
+        backup.restore_from_json(args.file, vm)
+    else:
+        parser.print_help()
+
+
+if __name__ == "__main__":
+    main()

vector_memory/memory_cli.py

@@ -0,0 +1,89 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+向量记忆系统 - 命令行工具
+用法:
+    python3 memory_cli.py add "记忆内容" --importance 4 --tags tag1,tag2
+    python3 memory_cli.py search "查询内容"
+    python3 memory_cli.py recent
+    python3 memory_cli.py count
+"""
+
+import os
+import sys
+import argparse
+
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+from vector_memory import VectorMemorySystem
+
+
+def main():
+    parser = argparse.ArgumentParser(description="OpenClaw 向量记忆系统 CLI")
+    subparsers = parser.add_subparsers(dest="command", help="命令")
+    
+    # 添加记忆
+    add_parser = subparsers.add_parser("add", help="添加记忆")
+    add_parser.add_argument("content", help="记忆内容")
+    add_parser.add_argument("--importance", "-i", type=int, default=3, 
+                          help="重要性 1-5 (默认: 3)")
+    add_parser.add_argument("--tags", "-t", type=str, default="",
+                          help="标签，用逗号分隔")
+    
+    # 搜索
+    search_parser = subparsers.add_parser("search", help="语义搜索")
+    search_parser.add_argument("query", help="查询内容")
+    search_parser.add_argument("--top", "-n", type=int, default=5, 
+                             help="返回数量 (默认: 5)")
+    
+    # 最近
+    subparsers.add_parser("recent", help="查看最近记忆")
+    subparsers.add_parser("count", help="统计记忆数量")
+    
+    # 删除
+    delete_parser = subparsers.add_parser("delete", help="删除记忆")
+    delete_parser.add_argument("memory_id", help="记忆 ID")
+    
+    args = parser.parse_args()
+    
+    # 获取 API Key
+    api_key = os.getenv("SILICONFLOW_API_KEY")
+    if not api_key:
+        print("❌ 请设置 SILICONFLOW_API_KEY 环境变量")
+        sys.exit(1)
+    
+    # 初始化
+    vm = VectorMemorySystem(api_key=api_key)
+    
+    # 执行命令
+    if args.command == "add":
+        tags = args.tags.split(",") if args.tags else []
+        metadata = {"tags": tags} if tags else {}
+        vm.add_memory(args.content, metadata, args.importance)
+        
+    elif args.command == "search":
+        results = vm.search(args.query, args.top)
+        print(f"\n🔍 搜索: '{args.query}' (共 {len(results)} 条)")
+        for i, r in enumerate(results, 1):
+            print(f"\n{i}. {r['content']}")
+            print(f"   相似度: {r['similarity']:.2%} | ID: {r['id']}")
+            
+    elif args.command == "recent":
+        recent = vm.get_recent(10)
+        print(f"\n📅 最近 {len(recent)} 条记忆:")
+        for i, r in enumerate(recent, 1):
+            print(f"{i}. {r['content'][:50]}...")
+            print(f"   创建于: {r['created_at']} | 重要性: {r['importance']}")
+            
+    elif args.command == "count":
+        print(f"\n📊 记忆总数: {vm.count()}")
+        
+    elif args.command == "delete":
+        vm.delete(args.memory_id)
+        
+    else:
+        parser.print_help()
+
+
+if __name__ == "__main__":
+    main()

vector_memory/vector_memory.py

@@ -0,0 +1,229 @@
+# -*- coding: utf-8 -*-
+"""
+OpenClaw 向量记忆系统 - 核心引擎
+基于 硅基流动 BGE-M3 + Chroma + SQLite
+"""
+
+import chromadb
+from chromadb.config import Settings
+from openai import OpenAI
+import sqlite3
+import json
+import os
+from datetime import datetime
+import uuid
+
+
+class VectorMemorySystem:
+    """向量记忆系统核心类"""
+    
+    def __init__(self, persist_dir: str = "./data/memory", api_key: str = None):
+        """
+        初始化向量记忆系统
+        
+        Args:
+            persist_dir: 数据存储目录
+            api_key: 硅基流动 API Key
+        """
+        
+        # 1. 初始化硅基流动客户端
+        if not api_key:
+            api_key = os.getenv("SILICONFLOW_API_KEY")
+            if not api_key:
+                raise ValueError("请设置 SILICONFLOW_API_KEY 环境变量")
+        
+        self.client = OpenAI(
+            api_key=api_key,
+            base_url="https://api.siliconflow.cn/v1"
+        )
+        
+        # 2. 初始化 Chroma 向量库
+        self.chroma = chromadb.Client(Settings(
+            persist_directory=persist_dir,
+            anonymized_telemetry=False
+        ))
+        self.collection = self.chroma.get_or_create_collection(
+            name="openclaw_memory",
+            metadata={"description": "OpenClaw long-term memory"}
+        )
+        
+        # 3. 初始化 SQLite（用于持久化）
+        self.db_path = f"{persist_dir}/memory.db"
+        self._init_sqlite()
+        
+        print(f"✅ 向量记忆系统初始化完成")
+        print(f"   - 数据目录: {persist_dir}")
+        print(f"   - 向量模型: BAAI/bge-m3")
+    
+    def _init_sqlite(self):
+        """初始化 SQLite 数据库"""
+        self.conn = sqlite3.connect(self.db_path)
+        self.conn.execute("""
+            CREATE TABLE IF NOT EXISTS memories (
+                id TEXT PRIMARY KEY,
+                content TEXT NOT NULL,
+                metadata TEXT,
+                importance INTEGER DEFAULT 3,
+                tier TEXT DEFAULT 'hot',
+                created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+            )
+        """)
+        self.conn.execute("""
+            CREATE INDEX IF NOT EXISTS idx_importance ON memories(importance)
+        """)
+        self.conn.execute("""
+            CREATE INDEX IF NOT EXISTS idx_created_at ON memories(created_at)
+        """)
+        self.conn.commit()
+    
+    def _get_embedding(self, text: str) -> list:
+        """调用 BGE-M3 获取向量"""
+        response = self.client.embeddings.create(
+            model="BAAI/bge-m3",
+            input=text
+        )
+        return response.data[0].embedding
+    
+    def add_memory(self, content: str, metadata: dict = None, importance: int = 3) -> str:
+        """
+        添加记忆（同时写入向量库 + SQLite）
+        
+        Args:
+            content: 记忆内容
+            metadata: 元数据（字典）
+            importance: 重要性评分 1-5
+        
+        Returns:
+            memory_id: 记忆唯一标识
+        """
+        memory_id = str(uuid.uuid4())
+        
+        # 1. 生成向量并存储到 Chroma
+        embedding = self._get_embedding(content)
+        self.collection.add(
+            ids=[memory_id],
+            embeddings=[embedding],
+            documents=[content],
+            metadatas=[metadata or {"importance": importance}]
+        )
+        
+        # 2. 写入 SQLite 持久化
+        self.conn.execute(
+            """INSERT INTO memories (id, content, metadata, importance) 
+               VALUES (?, ?, ?, ?)""",
+            (memory_id, content, json.dumps(metadata or {}), importance)
+        )
+        self.conn.commit()
+        
+        print(f"✅ 添加记忆: {content[:30]}...")
+        return memory_id
+    
+    def search(self, query: str, top_k: int = 5) -> list:
+        """
+        语义搜索
+        
+        Args:
+            query: 查询文本
+            top_k: 返回数量
+        
+        Returns:
+            记忆列表（包含 content, distance, metadata）
+        """
+        # 1. 查询向量
+        query_embedding = self._get_embedding(query)
+        
+        # 2. 向量相似度搜索
+        results = self.collection.query(
+            query_embeddings=[query_embedding],
+            n_results=top_k
+        )
+        
+        # 3. 格式化返回
+        memories = []
+        for i, doc in enumerate(results['documents'][0]):
+            memories.append({
+                'id': results['ids'][0][i],
+                'content': doc,
+                'distance': results['distances'][0][i],
+                'similarity': 1 - results['distances'][0][i],
+                'metadata': results['metadatas'][0][i]
+            })
+        
+        return memories
+    
+    def get_recent(self, limit: int = 10) -> list:
+        """获取最近添加的记忆"""
+        cursor = self.conn.execute("""
+            SELECT id, content, metadata, importance, created_at 
+            FROM memories 
+            ORDER BY created_at DESC 
+            LIMIT ?
+        """, (limit,))
+        
+        return [{
+            'id': row[0],
+            'content': row[1],
+            'metadata': json.loads(row[2]) if row[2] else {},
+            'importance': row[3],
+            'created_at': row[4]
+        } for row in cursor.fetchall()]
+    
+    def count(self) -> int:
+        """获取记忆总数"""
+        cursor = self.conn.execute("SELECT COUNT(*) FROM memories")
+        return cursor.fetchone()[0]
+    
+    def delete(self, memory_id: str):
+        """删除指定记忆"""
+        self.collection.delete(ids=[memory_id])
+        self.conn.execute("DELETE FROM memories WHERE id=?", (memory_id,))
+        self.conn.commit()
+        print(f"🗑️ 删除记忆: {memory_id}")
+
+
+# ============ 便捷函数 ============
+
+def get_memory_system(api_key: str = None) -> VectorMemorySystem:
+    """获取记忆系统单例（支持传入 API Key）"""
+    global _memory_system
+    
+    if '_memory_system' not in globals() or _memory_system is None:
+        _memory_system = VectorMemorySystem(api_key=api_key)
+    
+    return _memory_system
+
+
+# 测试代码
+if __name__ == "__main__":
+    import sys
+    
+    # 检查 API Key
+    api_key = os.getenv("SILICONFLOW_API_KEY")
+    if not api_key and len(sys.argv) > 1:
+        api_key = sys.argv[1]
+    
+    if not api_key:
+        print("❌ 请设置 SILICONFLOW_API_KEY 环境变量或作为参数传入")
+        print("   export SILICONFLOW_API_KEY='sk-xxx'")
+        sys.exit(1)
+    
+    # 初始化
+    vm = VectorMemorySystem(api_key=api_key)
+    
+    # 测试添加
+    print("\n📝 测试添加记忆...")
+    vm.add_memory(
+        content="今天学习了向量数据库+语义搜索的方案，采用硅基流动BGE-M3模型",
+        metadata={"tags": ["学习", "向量"], "source": "test"},
+        importance=4
+    )
+    
+    # 测试搜索
+    print("\n🔍 测试语义搜索...")
+    results = vm.search("AI 记忆系统")
+    for r in results:
+        print(f"   - {r['content'][:50]}... (相似度: {r['similarity']:.2%})")
+    
+    # 统计
+    print(f"\n📊 当前记忆总数: {vm.count()}")