明廷盛 嘻嘻😁

==⚠ Switch to EXCALIDRAW VIEW in the MORE OPTIONS menu of this document. ⚠== You can decompress Drawing data with the command palette: ‘Decompress current Excalidraw file’. For more info check in plugin settings under ‘Saving’

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| 名称 | 类型 | 路径 |
| ------- | ---- | --------------------------------------------------- |
| MTD待办 | tool | /Users/xi/.hermes/plugins/micorsoft_to_to_assistant |
| | | |
| | | |
### 中间层

| 名称 | 类型 | 路径 |
| ------- | ---- | --------------------------------------------------- |
| MTD待办 | tool | /Users/xi/.hermes/plugins/micorsoft_to_to_assistant |
| | | |
| | | |

Excalidraw Data

Text Elements

[基础层] ^kr6CHBgP

JSON1 ^vY6js4YE

JSON2 ^p7eN28r4

JSON3 ^ILCAf7ZQ

JSON4 ^294s1Go2

JSON5 ^dCMbG5J5

collect_plugin [hook] ^pSJN7LiF

sqlite1 ^MOyfhyYZ

sqlite2 ^UWesHoDj

sqlite3 ^REcAJgUx

sqlite4 ^6ZqwaiSY

sqlite5 ^IrFQxVry

文件修改记录
/Users/xi/.hermes/plugins/modify_file_monitor/
├── init.py
├── plugin.yaml
├── schemas.py
├── tools.py
├── skills/
│ └── modify-file-monitor-workflow/
│ └── SKILL.md
└── providers/ tools.py的具体提供者
|___





│ ^mnO1rKgi

文件修改记录 ^h8aVWop0

skill ^N0XgCWy9

tool ^fA7mHzzf

  1. modify-file-monitor-workflow ^zjeysLua

  2. get_modified_files_by_apps ^MNdXtsFn

①注册skill ②注册tool ^wdbFr70f

①写明tool的入参 ^6Zm0T4M9

我后续是这样的

  1. 有一个hook, 捕捉所有的tool(后续其他tool也会换为这个架构)
  2. 这个hook会在每次对话结束, 将本轮调用的tool的json数据进行存储;
    目的: 帮助Hermes实现长期(数年)的记忆存储功能;
  3. 可能还有一个tools, 去实现长期记忆的查询功能(就是查上面各个tool新建表)
    skill的工作流: 知道是哪个tool的—>获取对应tool的表结构—>依据用户需要编写sql语句
    可用的tools:
    ① 获取对应能力 (微信聊天记录 | 文件修改记录 | 屏幕使用时长 | 历史浏览记录 | 佳明运动健康 |…)
    ② 获取对应的表结构
    ③ 依据sql查询并返回数据,

注意: 这个hook的调用频率极高, 因为执行方式是心跳, 你可以理解为每5min会获取一次全量数据, 所以
去重就成了一个非常困难, 且复杂的问题;
可能有灵感的点: 要不就绝对去重, 没有修改; 比如①时间 ②文件路径 ③文件描述 这个三个字段
10:00 | 文件B | 编写plugin的定义
10:11 | 文件B | 编写plugin的实现
因为时间是绝对线性的,
另外一个例子是: exercise_and_health 运动数据, 这个数据不怎么经常变动
10:00执行一次, 获取到的运动信息只有A
11:00执行一次, 获取到的还是只有A, 那数据库就只存A
注意这两个例子的区别,例子一是因为有 schemas.py 12-14 这样的字段所以可以增量存储;
例子二: 就只是记录运动数据 ^kMsTO6W4

先不要修改任何代码, 只做分析

  1. 我想了下, JSON1还是不太可行, json太多了, 就算我5min一跳, 每天也有288个json数据(就算300);
    每个json最坏都是3000行左右(压缩后也很大)
    所以我更新了方案

  2. 方案一:
    ①拆分 /Users/xi/.hermes/plugins/modify_file_monitor/providers 架构, 全部换为tools注册到Hermes;
    ②每个provide_tools在返回数据前都新增一个插入数据库的方法; (去除全局钩子)
    ③每个provide_tools都特别去写专门的数据库表格结构/插入方法/暴露表结构方法
    ④后续”长期查询”plugin, 也分别调用它们暴露的接口即可
    对于”长期查询”plugin的工作流:

  3. 查到哪个plugin

  4. 查到这个plugin的哪个表(trae, pycharm…的表)

  5. 调用对应表的表结构

  6. LLM生成查询语句

  7. 返回数据

  8. 方案二: 还是json1的方案;

你需要回答: 哪个方案更好, 在如此大的数据量的情况下, json1是否还可行 ^LGNRrRrW

社交 ^PNKIFckx

财务娱乐购物美食
^ngTXybJD

效率与工具 ^asy2MmTY

运动健康 ^esIVlA21

微信 ^wrwxD8s8

QQ ^VbmpEgH2

Garmin ^ICLeeOeb

其他 ^U2t3xXcH

Agent工具 ^oZk7lcs8

历史记录 ^W6rMFINC

文件修改历史 ^pfPZgrw1

社交Daemon ^touzl6au

健康Daemon ^g4WYxuDE

历史Daemon ^9lYP6oOT

SFL-Daemon ^CPDSsrw2

基础服务层 [python]
(每个Daemon自己管理数据库) ^j6l5QclI

LLM Pipeline
(Ollama处理LLM) ^NEJIcdlm

Audio Pipeline
(音频转文字) ^gk4jgBQr

中间层 [skill | plugin]
(SKILL80%+PLUGIN20%)
^HW4pWqGj

[PLUGIN] Micorsoft TO DO ^Z622yXC4

分发层 [skill | plugin| hook]
(做验证和分发网关) ^rgyFaY70

交互层 [微信 | 飞书 | TO DO]
(最终和用户交互的应用) ^HWB8R5nP

[SKILL] 二次质疑 + 验证 ^GNoqxkZ4

[SKILL] 回复SKILL
(回复的每句话, 携带①数据库sql语句 ②文件路径等) ^uJlPrDfg

未完成 ^EOiC99uw

已完成 ^D9EWJsKI

[SKILL] 快速通道(急事) ^K87ynAh5

Daemon Center(直接交互) ^WT3V3Gjp

[SKILL] 主动交互 + 反馈 ^gmpnSsN2

屏幕使用时长Daemon ^1w8OUC8K

MAC/IOS/安卓 ^x907lgrw

PIPELINE [python]
(公共插入自动回填) ^F1YrfMGn

[PLUGIN] 飞书每日视图 ^oBdiPMdn

[PLUGIN] 及时提醒 ^SbXG8wAH

qajnYFAg: [[ExpYourself分层#基础层]]

%%

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  • Title:
  • Author: 明廷盛
  • Created at : 2026-07-16 04:33:07
  • Updated at : 2026-07-16 04:33:07
  • Link: https://blog.20040424.xyz/2026/07/16/⚔️实战项目/ExpYourself/ExpYourself架构/
  • License: All Rights Reserved © 明廷盛