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starmen1265
2026-03-16 02:10:04 +08:00
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agents/knowledge-base/workspace/memory/2026-03-15-1018.md
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# Session: 2026-03-15 10:18:37 UTC
- **Session Key**: agent:knowledge-base:main
- **Session ID**: ecc69d54-40ef-4c33-a026-e8878c0d4108
- **Source**: feishu
## Conversation Summary
assistant: ✅ New session started · model: zhipu/glm-5
user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.
assistant: 📚 蒋先生，您好。我是达康书记，您的私人秘书。
请问今天有什么需要我协助处理的？无论是工作安排、知识库管理，还是其他事务，请随时吩咐。
user: Conversation info (untrusted metadata):
```json
{
"message_id": "om_x100b546d112090acc3d096e37b38dc9",
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
"sender": "张青",
"timestamp": "Sun 2026-03-15 02:13 GMT+8"
}
```
Sender (untrusted metadata):
```json
{
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
"id": "ou_9351c287f42069fa30366ac641d24df7",
"name": "张青"
}
```
[message_id: om_x100b546d112090acc3d096e37b38dc9]
张青: 在吗？
assistant: 在的，蒋先生。请问有什么需要我协助的？
assistant: **每日回顾整理完成** 📋
- **执行时间**：2026-03-15 02:30:05
- **处理日期**：2026-03-14
- **结果**：没有已完成的任务，跳过处理
脚本正常执行完毕，工作区无需整理。
assistant: **日历同步完成**
| 步骤 | 状态 |
|------|------|
| 从 NAS 同步工作区 | ✅ 成功 |
| 解析周期性提醒 | 0 个 |
| 解析单次提醒 | 0 个 |
| CalDAV 日历连接 | ✅ 成功 (24 个事件) |
| 同步到 NAS | ✅ 成功 |
当前无新增提醒需要同步到日历，CalDAV 日历中共有 24 个事件。
assistant: **AI 对话记录整理完成**
| 项目 | 详情 |
|------|------|
| 处理日期 | 2026-03-14 |
| 发现代理 | dev-assist, haonan, knowledge-base, main, thinker, ui-designer |
| 主要对话 | knowledge-base (12条消息) |
| 话题标签 | AI/LLM、OpenClaw、iOS/Apple、任务规划、定时任务 |
所有代理记录已更新汇总，并同步推送到 NAS。
agents/knowledge-base/workspace/memory/2026-03-15-1021.md
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# Session: 2026-03-15 10:21:21 UTC
- **Session Key**: agent:knowledge-base:main
- **Session ID**: e1a3da80-07d4-470e-b177-16528d42a6e0
- **Source**: feishu
## Conversation Summary
assistant: ✅ New session started · model: zhipu/glm-5
user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.
assistant: 📚 蒋先生，达康书记为您效劳。
新的一天开始了，今天有什么需要我帮您处理的吗？
user: [Queued messages while agent was busy]
---
Queued #1
Conversation info (untrusted metadata):
```json
{
"message_id": "om_x100b545c365b94a0c44e709df0f5422",
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
"sender": "张青",
"timestamp": "Sun 2026-03-15 18:18 GMT+8"
}
```
Sender (untrusted metadata):
```json
{
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
"id": "ou_9351c287f42069fa30366ac641d24df7",
"name": "张青"
}
```
[message_id: om_x100b545c365b94a0c44e709df0f5422]
张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
assistant: 收到，蒋先生。我来处理这个B站视频，添加到知识库。
agents/knowledge-base/workspace/memory/2026-03-15-1501.md
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# Session: 2026-03-15 15:01:30 UTC
- **Session Key**: agent:knowledge-base:main
- **Session ID**: 66c8ed24-257c-4c62-ad84-c0912acb2c47
- **Source**: feishu
## Conversation Summary
assistant: ✅ New session started · model: zhipu/glm-5
user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.
assistant: 收到，蒋先生。我来处理这个B站视频，添加到知识库。
assistant: 📚 蒋先生，新的一天开始了。作为您的私人秘书，我已准备好协助您处理工作和生活中的各项事务。请问今天有什么需要我帮助的？
user: Note: The previous agent run was aborted by the user. Resume carefully or ask for clarification.
Conversation info (untrusted metadata):
```json
{
"message_id": "om_x100b545cca14e8a4c4dcc592a9c425d",
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
"sender": "张青",
"timestamp": "Sun 2026-03-15 18:22 GMT+8"
}
```
Sender (untrusted metadata):
```json
{
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
"id": "ou_9351c287f42069fa30366ac641d24df7",
"name": "张青"
}
```
[message_id: om_x100b545cca14e8a4c4dcc592a9c425d]
张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
assistant: 好的，蒋先生。我来将这个B站视频添加到知识库。
assistant: 已安排代理处理深度分析任务，正在生成分析报告...
assistant: ✅ 深度分析完成！正在归档到知识库...
assistant: ✅ **完成！**
**标题:** 2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读
**作者:** 阿周的Eureka
**时长:** 7:16
**处理结果:**
- 解析: ✅ B站视频 BV16cNMzpExh
- 元数据: ✅ 已提取
- 内容: ✅ 已获取字幕
- 深度分析: ✅ 完成
- 归档: ✅ ~/work/zq/30.资源/AI分析/2026-03-15/
**摘要:**
本视频对2026年2-3月宏观经济数据进行复盘，结合政府工作报告解读全年政策基调。主要涵盖：物价系统温和回暖、社融创新高、PMI走势、财政货币政策方向，以及对房地产和基建投资的分析推演。
user: Conversation info (untrusted metadata):
```json
{
"message_id": "om_x100b545c9fd988a4b4bcc03ec7b3368",
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
"sender": "张青",
"timestamp": "Sun 2026-03-15 18:42 GMT+8"
}
```
Sender (untrusted metadata):
```json
{
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
"id": "ou_9351c287f42069fa30366ac641d24df7",
"name": "张青"
}
```
[message_id: om_x100b545c9fd988a4b4bcc03ec7b3368]
张青: https://www.zhihu.com/question/1936375725931361485/answer/2003232153480226496?share_code=P3Sg6A8B8rNK&utm_psn=2016585020039517457 添加到知识库
assistant: 已安排代理处理深度分析任务...
assistant: ✅ **完成！**
**标题:** 怎么成为一个 AI Agent 工程师？
**平台:** 知乎问答
**处理结果:**
- 解析: ✅ 知乎问答
- 内容获取: ✅ 已提取
- 深度分析: ✅ 完成
- 归档: ✅ ~/work/zq/30.资源/AI分析/2026-03-15/
**摘要:**
文章分享了从机械专业转行成为 AI Agent 工程师的实战经验。核心路径：1) 掌握大模型 API 调用与提示词控制；2) 学会让模型调用工具（检索、函数执行）；3) 解决工程化问题（上下文管理、稳定性）；4) 用具体项目成果量化简历能力。
agents/knowledge-base/workspace/memory/2026-03-15-1626.md
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# Session: 2026-03-15 16:26:17 UTC
- **Session Key**: agent:knowledge-base:main
- **Session ID**: 843cc739-7402-40f0-81ed-015cd4a8848d
- **Source**: feishu
## Conversation Summary
assistant: ✅ New session started · model: zhipu/glm-5
user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.
assistant: [[reply_to_current]] 蒋先生您好，我是达康书记。今天有什么需要我协助的吗？📚
user: Conversation info (untrusted metadata):
```json
{
"message_id": "om_x100b5458d055dca4c4dd20469577549",
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
"sender": "张青",
"timestamp": "Sun 2026-03-15 23:02 GMT+8"
}
```
Sender (untrusted metadata):
```json
{
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
"id": "ou_9351c287f42069fa30366ac641d24df7",
"name": "张青"
}
```
[message_id: om_x100b5458d055dca4c4dd20469577549]
张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
assistant: 已安排代理处理知识库添加任务。
assistant: ✅ 已安排代理处理【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读】的视频链接。
代理正在执行：
- 环境变量检查
- 链接解析和元数据提取
- 内容下载
- AI深度分析
- 归档到知识库
完成后会自动汇报结果。📚
assistant: ✅ Subagent knowledge-base finished
---
## ✅ 任务完成
### 处理结果
| 项目 | 内容 |
|------|------|
| **原始链接** | https://b23.tv/NGR0Ul5 |
| **解析后链接** | https://www.bilibili.com/video/BV16cNMzpExh |
| **标题** | 2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 |
| **作者** | 阿周的Eureka |
| **时长** | 07:16 |
### 执行步骤
1. ✅ 环境变量检查通过
2. ✅ URL 解析（短链展开）
3. ✅ 内容下载（音频、字幕已有）
4. ✅ ASR（字幕已存在，跳过）
5. ✅ **深度分析**（AI 生成分析报告）
6. ✅ 归档到知识库
7. ✅ 同步到 NAS
### 最终文件路径
```
~/work/zq/30.资源/AI分析/2026-03-15/bilibili_BV16cNMzpExh.md
```
### 分析报告统计
- 摘要长度：319 字
- 主题数量：10 个
- 关键见解：4 条
- 标签数量：5 个
user: Conversation info (untrusted metadata):
```json
{
"message_id": "om_x100b54588d4de4a0c14df6ea4b56be0",
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
"sender": "张青",
"timestamp": "Sun 2026-03-15 23:11 GMT+8"
}
```
Sender (untrusted metadata):
```json
{
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
"id": "ou_9351c287f42069fa30366ac641d24df7",
"name": "张青"
}
```
[message_id: om_x100b54588d4de4a0c14df6ea4b56be0]
张青: https://www.zhihu.com/question/1936375725931361485/answer/2003232153480226496?share_code=P3Sg6A8B8rNK&utm_psn=2016585020039517457 添加到知识库
assistant: 已安排代理处理知识库添加任务。
assistant: ✅ 已安排代理处理知乎问答链接。
代理正在执行下载和深度分析，完成后会自动汇报结果。📚
assistant: ✅ Subagent knowledge-base finished
---
## ✅ 任务完成！
**知识库添加任务执行成功**
### 处理结果
| 项目 | 状态 |
|------|------|
| 环境变量检查 | ✅ 通过 |
| URL 解析 | ✅ 知乎回答 |
| 内容下载 | ✅ 成功 |
| ASR 处理 | ⏭️ 跳过（文本内容） |
| 深度分析 | ✅ 完成（耗时 170 秒） |
| 归档 | ✅ 完成 |
### 最终文件路径
```
~/work/zq/30.资源/AI分析/2026-03-15/zhihu_2003232153480226496_ai_agent_engineer.md
```
### 内容摘要
**标题**: AI Agent工程师转型指南：从理论焦虑到实战高薪的路径拆解
**核心观点**:
- 当前的就业窗口期更看重"应用落地"能力而非"模型训练"能力
- 转型路径四步：API调用 → 工具使用 → 工程化 → 简历优化
- 强调"动手做"优于"死磕理论"的实操哲学
### 过程中修复的问题
1. **环境变量配置**: 添加 `KB_ZHIHU_COOKIE` 环境变量
2. **模块导入**: 创建 `kb_zhihu_metadata` 和 `kb_deep_analyzer` 符号链接
3. **Playwright 异步问题**: 修改 ZhihuAdapter 使用 `asyncio.to_thread()` 运行同步代码
4. **知乎回答 URL 构建**: 修改 pipeline 传递完整 `source_url` 给下载处理器
5. **ASR 跳过逻辑**: 文本内容类型自动跳过 ASR 步骤
agents/knowledge-base/workspace/memory/2026-03-15-1632.md
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# Session: 2026-03-15 16:32:14 UTC
- **Session Key**: agent:knowledge-base:main
- **Session ID**: 505c65bb-e683-4823-b725-2dbf21e91a4d
- **Source**: feishu
## Conversation Summary
assistant: ✅ New session started · model: zhipu/glm-5
user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.
assistant: [[reply_to_current]] 📚 达康书记为您服务，蒋先生。深夜时分，有什么我可以协助您处理的吗？无论是工作区的整理、知识库维护，还是其他事务，我都在。
user: Conversation info (untrusted metadata):
```json
{
"message_id": "om_x100b545992d568a0c3511684eae15a5",
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
"sender": "张青",
"timestamp": "Mon 2026-03-16 00:26 GMT+8"
}
```
Sender (untrusted metadata):
```json
{
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
"id": "ou_9351c287f42069fa30366ac641d24df7",
"name": "张青"
}
```
[message_id: om_x100b545992d568a0c3511684eae15a5]
张青: https://www.zhihu.com/question/1936375725931361485/answer/2003232153480226496?share_code=P3Sg6A8B8rNK&utm_psn=2016585020039517457 添加到知识库
assistant: ✅ 已添加到知识库
**标题**：怎么成为一个 AI Agent 工程师？
**作者**：啦啦啦啦
**来源**：知乎回答
**内容摘要**：作者分享了从机械专业转行成为 AI Agent 工程师并获得 30k 高薪的经验，提出了四步学习路线：
1. 掌握模型调用与提示词控制
2. 让模型学会使用工具（RAG、代码执行）
3. 解决工程化难题，将 Demo 转化为稳定系统
4. 撰写能体现商业价值的简历
**归档位置**：`~/work/zq/30.资源/AI分析/2026-03-16/zhihu_2003232153480226496.md`
user: Conversation info (untrusted metadata):
```json
{
"message_id": "om_x100b5459a51f60a4c11dbfc6068d690",
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
"sender": "张青",
"timestamp": "Mon 2026-03-16 00:30 GMT+8"
}
```
Sender (untrusted metadata):
```json
{
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
"id": "ou_9351c287f42069fa30366ac641d24df7",
"name": "张青"
}
```
[message_id: om_x100b5459a51f60a4c11dbfc6068d690]
张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
assistant: 正在处理中...
agents/knowledge-base/workspace/memory/2026-03-15-1633.md
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# Session: 2026-03-15 16:33:06 UTC
- **Session Key**: agent:knowledge-base:main
- **Session ID**: 65909187-7f10-4a23-8baa-6b66f752859e
- **Source**: feishu
## Conversation Summary
assistant: ✅ New session started · model: zhipu/glm-5
user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.