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openclaw/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):

{
  "message_id": "om_x100b545cca14e8a4c4dcc592a9c425d",
  "sender_id": "ou_9351c287f42069fa30366ac641d24df7",
  "sender": "张青",
  "timestamp": "Sun 2026-03-15 18:22 GMT+8"
}

Sender (untrusted metadata):

{
  "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):

{
  "message_id": "om_x100b545c9fd988a4b4bcc03ec7b3368",
  "sender_id": "ou_9351c287f42069fa30366ac641d24df7",
  "sender": "张青",
  "timestamp": "Sun 2026-03-15 18:42 GMT+8"
}

Sender (untrusted metadata):

{
  "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。