{"type":"session","version":3,"id":"40e04b00-4f3e-4e74-b027-721cc232da9f","timestamp":"2026-06-01T01:02:39.235Z","cwd":"/root/.openclaw/workspace"}
{"type":"model_change","id":"3a16c222","parentId":null,"timestamp":"2026-06-01T01:02:39.237Z","provider":"openai_proxy","modelId":"gpt-5.4-mini"}
{"type":"thinking_level_change","id":"53a06c36","parentId":"3a16c222","timestamp":"2026-06-01T01:02:39.237Z","thinkingLevel":"off"}
{"type":"custom","customType":"model-snapshot","data":{"timestamp":1780275759238,"provider":"openai_proxy","modelApi":"openai-responses","modelId":"gpt-5.4-mini"},"id":"ac3337cf","parentId":"53a06c36","timestamp":"2026-06-01T01:02:39.238Z"}
{"type":"message","id":"4e839556","parentId":"ac3337cf","timestamp":"2026-06-01T01:02:39.247Z","message":{"role":"user","content":[{"type":"text","text":"[cron:cab5d47a-eab0-45b8-aadb-eea9f7f87fb9 weekly-life-memory-review] 执行人际关系记忆系统的每周回顾：读取本周新增记录，生成周报并发送到飞书。脚本路径：/root/.openclaw/workspace/agents/lifemem/weekly-review.js\nCurrent time: Monday, June 1st, 2026 — 1:02 AM (UTC) / 2026-06-01 01:02 UTC\n\nReturn your summary as plain text; it will be delivered automatically. If the task explicitly calls for messaging a specific external recipient, note who/where it should go instead of sending it yourself."}],"timestamp":1780275759244}}
{"type":"message","id":"8abb9571","parentId":"4e839556","timestamp":"2026-06-01T01:02:40.085Z","message":{"role":"assistant","content":[],"api":"openai-responses","provider":"openai_proxy","model":"gpt-5.4-mini","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"error","timestamp":1780275759246,"errorMessage":"403 status code (no body)"}}
{"type":"custom","customType":"model-snapshot","data":{"timestamp":1780275760149,"provider":"hai","modelApi":"openai-completions","modelId":"MiniMax-M2.5"},"id":"4f11a61c","parentId":"8abb9571","timestamp":"2026-06-01T01:02:40.149Z"}
{"type":"message","id":"3d149cdc","parentId":"4f11a61c","timestamp":"2026-06-01T01:02:40.167Z","message":{"role":"user","content":[{"type":"text","text":"[cron:cab5d47a-eab0-45b8-aadb-eea9f7f87fb9 weekly-life-memory-review] 执行人际关系记忆系统的每周回顾：读取本周新增记录，生成周报并发送到飞书。脚本路径：/root/.openclaw/workspace/agents/lifemem/weekly-review.js\nCurrent time: Monday, June 1st, 2026 — 1:02 AM (UTC) / 2026-06-01 01:02 UTC\n\nReturn your summary as plain text; it will be delivered automatically. If the task explicitly calls for messaging a specific external recipient, note who/where it should go instead of sending it yourself."}],"timestamp":1780275760158}}
{"type":"message","id":"fa831b1b","parentId":"3d149cdc","timestamp":"2026-06-01T01:02:45.348Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me execute the weekly review script for the life memory system."},{"type":"toolCall","id":"call_126462b68f744e95a132bb5a","name":"exec","arguments":{"command":"node /root/.openclaw/workspace/agents/lifemem/weekly-review.js 2>&1","timeout":60}}],"api":"openai-completions","provider":"hai","model":"MiniMax-M2.5","usage":{"input":17670,"output":69,"cacheRead":2066,"cacheWrite":0,"totalTokens":19805,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1780275760165}}
{"type":"message","id":"fc3e6759","parentId":"fa831b1b","timestamp":"2026-06-01T01:02:45.624Z","message":{"role":"toolResult","toolCallId":"call_126462b68f744e95a132bb5a","toolName":"exec","content":[{"type":"text","text":"📅 Weekly Review Agent - Starting...\n\n📅 每周回顾 - 2026-06-01\n\n---\n\n## 人物档案\n当前记录了 **29** 个关键人物的档案\n\n---\n\n## 未来 7 天即将发生的事件\n📭 无即将发生的事件\n\n---\n\n## 待跟进事项（5 项）\n\n⏰ 待确认 - 推进自选股产品与 OpenClaw 产品的合作结合\n   相关人物：fit自选股 Leo\n   优先级：high\n\n\n⏰ 待定 - 回成都前提前联系欢哥\n   相关人物：huange\n   优先级：medium\n\n\n⏰ 每年年初 - 每年年初去成都见徐sir\n   相关人物：xusir\n   优先级：low\n\n\n⏰ 尽快 - 去泰国讨论东南亚 OpenClaw 企业客户\n   相关人物：jimmy哥\n   优先级：high\n\n\n⏰ 待确认 - 去青岛与海尔团队进一步交流 AI Agent 方向\n   相关人物：海尔\n   优先级：high\n\n\n---\n\n## 建议跟进\n\n你有 5 个待跟进事项，建议尽快处理：\n- fit自选股 Leo: 推进自选股产品与 OpenClaw 产品的合作结合\n- huange: 回成都前提前联系欢哥\n- xusir: 每年年初去成都见徐sir\n\n\n\n---\n\n*由毛仔的人际关系记忆系统自动生成* 🐱\n\n\n✅ Weekly review completed"}],"details":{"status":"completed","exitCode":0,"durationMs":263,"aggregated":"📅 Weekly Review Agent - Starting...\n\n📅 每周回顾 - 2026-06-01\n\n---\n\n## 人物档案\n当前记录了 **29** 个关键人物的档案\n\n---\n\n## 未来 7 天即将发生的事件\n📭 无即将发生的事件\n\n---\n\n## 待跟进事项（5 项）\n\n⏰ 待确认 - 推进自选股产品与 OpenClaw 产品的合作结合\n   相关人物：fit自选股 Leo\n   优先级：high\n\n\n⏰ 待定 - 回成都前提前联系欢哥\n   相关人物：huange\n   优先级：medium\n\n\n⏰ 每年年初 - 每年年初去成都见徐sir\n   相关人物：xusir\n   优先级：low\n\n\n⏰ 尽快 - 去泰国讨论东南亚 OpenClaw 企业客户\n   相关人物：jimmy哥\n   优先级：high\n\n\n⏰ 待确认 - 去青岛与海尔团队进一步交流 AI Agent 方向\n   相关人物：海尔\n   优先级：high\n\n\n---\n\n## 建议跟进\n\n你有 5 个待跟进事项，建议尽快处理：\n- fit自选股 Leo: 推进自选股产品与 OpenClaw 产品的合作结合\n- huange: 回成都前提前联系欢哥\n- xusir: 每年年初去成都见徐sir\n\n\n\n---\n\n*由毛仔的人际关系记忆系统自动生成* 🐱\n\n\n✅ Weekly review completed","cwd":"/root/.openclaw/workspace"},"isError":false,"timestamp":1780275765619}}
{"type":"message","id":"59e77f29","parentId":"fc3e6759","timestamp":"2026-06-01T01:02:48.423Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The weekly review script ran successfully. Now I need to send this report to Feishu. Let me check what channel/user to send it to - I should look at the script or memory for that info."},{"type":"toolCall","id":"call_f91f2975a10e4220b0e979fc","name":"read","arguments":{"path":"/root/.openclaw/workspace/agents/lifemem/weekly-review.js","limit":30}}],"api":"openai-completions","provider":"hai","model":"MiniMax-M2.5","usage":{"input":380,"output":93,"cacheRead":19733,"cacheWrite":0,"totalTokens":20206,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1780275765624}}
{"type":"message","id":"ac62ad5a","parentId":"59e77f29","timestamp":"2026-06-01T01:02:48.436Z","message":{"role":"toolResult","toolCallId":"call_f91f2975a10e4220b0e979fc","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env node\n\n/**\n * Weekly Review Agent for Life Memory System\n * Trigger: Every Monday (e.g., \"0 9 * * 1\")\n * Purpose: Generate weekly summary of relationship memories\n */\n\nconst fs = require('fs');\nconst path = require('path');\n\nconst WORKSPACE = '/root/.openclaw/workspace';\nconst MEMORY_DIR = path.join(WORKSPACE, 'memory/life-memories');\n\n// Files\nconst UPCOMING_EVENTS = path.join(MEMORY_DIR, 'upcoming-events.json');\nconst FOLLOW_UPS = path.join(MEMORY_DIR, 'follow-ups.json');\nconst MASTER_INDEX = path.join(MEMORY_DIR, 'master-index.json');\n\n// Load JSON file\nfunction loadJSON(filePath) {\n  try {\n    const content = fs.readFileSync(filePath, 'utf8');\n    return JSON.parse(content);\n  } catch (error) {\n    console.error(`Failed to load ${filePath}:`, error.message);\n    return null;\n  }\n}\n\n\n[97 more lines in file. Use offset=31 to continue.]"}],"isError":false,"timestamp":1780275768430}}
{"type":"message","id":"0f1ca9d9","parentId":"ac62ad5a","timestamp":"2026-06-01T01:02:50.782Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The script generates a summary but doesn't send it to Feishu. Since this is an isolated cron job session, I need to compose the message myself and send it to Powell via Feishu.\n\nLet me check if there's a way to send to Feishu. The message tool is available. Let me send the weekly review to Powell.\n\nI need to find Powell's Feishu user ID or chat ID. Since this is running in a cron context, I should check the cron job delivery configuration or send to the configured channel."},{"type":"toolCall","id":"call_f3b527db5e4a43b4a865f781","name":"cron","arguments":{"action":"list"}}],"api":"openai-completions","provider":"hai","model":"MiniMax-M2.5","usage":{"input":290,"output":133,"cacheRead":20110,"cacheWrite":0,"totalTokens":20533,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1780275768436}}
{"type":"message","id":"548b8c2c","parentId":"0f1ca9d9","timestamp":"2026-06-01T01:02:50.818Z","message":{"role":"toolResult","toolCallId":"call_f3b527db5e4a43b4a865f781","toolName":"cron","content":[{"type":"text","text":"{\n  \"jobs\": [\n    {\n      \"id\": \"33899455-cd68-4927-8793-38a644c37c07\",\n      \"name\": \"monthly-life-memory-review\",\n      \"description\": \"每月整理人际关系记忆\",\n      \"enabled\": true,\n      \"createdAtMs\": 1772513867676,\n      \"updatedAtMs\": 1777597413919,\n      \"schedule\": {\n        \"kind\": \"cron\",\n        \"expr\": \"0 9 1 * *\",\n        \"tz\": \"Asia/Shanghai\"\n      },\n      \"sessionTarget\": \"isolated\",\n      \"wakeMode\": \"now\",\n      \"payload\": {\n        \"kind\": \"agentTurn\",\n        \"message\": \"执行人际关系记忆系统的每月整理：清理重复信息，生成月度高光总结，写入 /memory/life-memories/monthly/YYYY-MM-summary.md。脚本路径：/root/.openclaw/workspace/agents/lifemem/monthly-review.js\",\n        \"timeoutSeconds\": 300\n      },\n      \"delivery\": {\n        \"mode\": \"announce\",\n        \"channel\": \"feishu\",\n        \"to\": \"user:ou_8ca9ac9fe1a34d3b8b0ecd90127565cc\"\n      },\n      \"state\": {\n        \"nextRunAtMs\": 1780275600000,\n        \"lastRunAtMs\": 1777597362207,\n        \"lastRunStatus\": \"ok\",\n        \"lastStatus\": \"ok\",\n        \"lastDurationMs\": 51712,\n        \"lastDelivered\": true,\n        \"lastDeliveryStatus\": \"delivered\",\n        \"consecutiveErrors\": 0,\n        \"runningAtMs\": 1780275600003\n      }\n    },\n    {\n      \"id\": \"cab5d47a-eab0-45b8-aadb-eea9f7f87fb9\",\n      \"name\": \"weekly-life-memory-review\",\n      \"description\": \"每周回顾人际关系记忆\",\n      \"enabled\": true,\n      \"createdAtMs\": 1772513856319,\n      \"updatedAtMs\": 1779671004111,\n      \"schedule\": {\n        \"kind\": \"cron\",\n        \"expr\": \"0 9 * * 1\",\n        \"tz\": \"Asia/Shanghai\"\n      },\n      \"sessionTarget\": \"isolated\",\n      \"wakeMode\": \"now\",\n      \"payload\": {\n        \"kind\": \"agentTurn\",\n        \"message\": \"执行人际关系记忆系统的每周回顾：读取本周新增记录，生成周报并发送到飞书。脚本路径：/root/.openclaw/workspace/agents/lifemem/weekly-review.js\",\n        \"timeoutSeconds\": 300\n      },\n      \"delivery\": {\n        \"mode\": \"announce\",\n        \"channel\": \"feishu\",\n        \"to\": \"user:ou_8ca9ac9fe1a34d3b8b0ecd90127565cc\"\n      },\n      \"state\": {\n        \"nextRunAtMs\": 1780275600000,\n        \"lastRunAtMs\": 1779670953428,\n        \"lastRunStatus\": \"error\",\n        \"lastStatus\": \"error\",\n        \"lastDurationMs\": 50683,\n        \"lastDeliveryStatus\": \"delivered\",\n        \"consecutiveErrors\": 6,\n        \"lastDelivered\": true,\n        \"runningAtMs\": 1780275759189\n      }\n    },\n    {\n      \"id\": \"daa3e140-bb72-4d83-bb8f-753b25077d64\",\n      \"agentId\": \"sub-agent\",\n      \"name\": \"Daily AI Scene Report\",\n      \"enabled\": true,\n      \"createdAtMs\": 1772199401904,\n      \"updatedAtMs\": 1780189365751,\n      \"schedule\": {\n        \"kind\": \"cron\",\n        \"expr\": \"0 9 * * *\",\n        \"tz\": \"Asia/Shanghai\"\n      },\n      \"sessionTarget\": \"isolated\",\n      \"wakeMode\": \"now\",\n      \"payload\": {\n        \"kind\": \"agentTurn\",\n        \"message\": \"你是「AI 场景洞察」模块的主理人，现在是每日例行工作时间。请执行今天的 AI 场景报告生成任务，并将它定位为一份“面向 OpenClaw 产品改进的情报简报”。报告采用三层结构：第一层是通用 AI / Agentic AI / Automation 场景扫描；第二层是 OpenClaw 专项观察；第三层是近期热议技术方向与最佳实践更新。特别要求：OpenClaw 专项必须明确区分“快变量（新增社区信号）”和“慢变量（长期成立判断）”，避免把通用评价伪装成当天新增发现；同时整份日报要保证“每天看完都有收获”，不只是信息汇总，还要给出判断、提醒和动作建议。请按以下要求执行：1. 使用 tavily-search 技能进行深度、多源搜索。通用关键词包括 AI agent use cases、agentic AI、AI automation；必须重点搜索 OpenClaw 相关主题，包括 OpenClaw use cases、OpenClaw workflow、OpenClaw automation、OpenClaw best practices、awesome-openclaw-usecases，以及 Reddit、GitHub、Discord、YouTube、X 等公开来源中的真实用户案例和讨论。2. 同时必须重点追踪近期热议的 agent 技术方向与最佳实践，包括但不限于：browser use、computer use、MCP、A2A、memory、long-term context、human-in-the-loop、agent eval、agent observability、tool calling、multimodal agent、voice agent、proactive agent、local-first agent。不要只罗列项目，要总结最近讨论成果、方法论收敛、最佳实践、反复出现的坑，以及对产品设计的启发。3. 将新发现的、有价值的通用 AI 场景写入 SQLite 数据库：/root/.openclaw/workspace/projects/ai_usecase_collector/data/ai_usecases.db。对于 OpenClaw 相关发现和技术方向发现，如果当前数据库结构不适合，也必须在最终报告中形成结构化专项观察，不要因为无法入库而跳过。4. 生成 Markdown 格式的《AI 应用场景每日简报》。报告必须包含以下固定部分：A) 今日/新增重点 AI 场景；B) 通用趋势洞察；C) OpenClaw 过去72小时新增社区信号；D) OpenClaw 过去7天高频讨论主题；E) OpenClaw 长期成立的产品判断；F) OpenClaw 用户在怎么用（真实 workflow / 场景模式）；G) OpenClaw 用户卡在哪里（痛点 / 阻碍 / 失败模式）；H) 哪些能力值得产品化（feature opportunities）；I) 近期热议技术方向；J) 最近最佳实践更新（例如 browser use / computer use / MCP 等）；K) 对 OpenClaw 的设计启发；L) 建议优先级；M) 今日最值得思考的一个问题；N) 今日最值得做的一个产品动作；O) 今日最该警惕的错觉 / 风险提醒；P) 关键信号置信度（高/中/低，并说明原因）。5. 对于 OpenClaw 过去72小时新增社区信号，必须尽量明确指出新增来源、讨论主题和为什么值得关注；如果新增高质量公开信号不足，必须明确说明“最近72小时新增高质量公开信号有限，以下判断主要延续过去7天趋势”，不要假装每天都有大量新增讨论。6. 在 OpenClaw 专项部分和技术方向部分，不要只做资讯搬运，要强制抽象成产品视角：用户行为模式、重复出现的高价值场景、阻碍 adoption 的关键 friction、值得进入 roadmap 的能力、以及需要规避的常见坑。7. 报告结尾要尽量给 Powell 留下“今天确实有收获”的感觉，因此最后几段必须尽量具体、克制、可执行，避免泛泛空话。8. 将完整报告写入 Obsidian 目录：/root/vault/obsidian_vault/obsidian/obsidian/CLAW/AI应用场景/，文件名使用当天日期，例如 YYYY-MM-DD-每日简报.md。9. 最后只输出一条适合直接发送给 Powell 的简短摘要，摘要中除了通用 AI 亮点外，必须单独概括 OpenClaw 相关发现和近期热议技术方向，并固定回答这几件事：今天用户在怎么用 OpenClaw、他们卡在哪里、最值得产品化的能力是什么、最建议优先关注的改进点是什么、最近热议的技术方向有哪些、这些方向里哪条最值得 OpenClaw 借鉴、今天最值得思考的问题是什么、今天最值得做的一个动作是什么、今天最该警惕的错觉是什么。同时在摘要里明确区分“新增社区信号”和“长期判断”。重要：不要说你发送了消息；不要输出“Message failed”“发送失败”之类状态字样；不要包含多余解释；直接输出可发送的最终摘要。\",\n        \"timeoutSeconds\": 1800\n      },\n      \"delivery\": {\n        \"mode\": \"announce\",\n        \"channel\": \"slack\",\n        \"to\": \"D0AH8JWUMBR\",\n        \"bestEffort\": true\n      },\n      \"state\": {\n        \"lastRunAtMs\": 1780189200005,\n        \"lastRunStatus\": \"ok\",\n        \"lastStatus\": \"ok\",\n        \"lastDurationMs\": 165746,\n        \"lastDeliveryStatus\": \"delivered\",\n        \"consecutiveErrors\": 0,\n        \"lastDelivered\": true,\n        \"nextRunAtMs\": 1780275600000,\n        \"runningAtMs\": 1780275600004\n      }\n    },\n    {\n      \"id\": \"1fc25a04-3355-4b80-989d-65608fafff71\",\n      \"name\": \"季度联系-xy\",\n      \"description\": \"每季度1号上午9点提醒 Powell 跟 xy 聊聊\",\n      \"enabled\": true,\n      \"createdAtMs\": 1773714322734,\n      \"updatedAtMs\": 1774976403458,\n      \"schedule\": {\n        \"kind\": \"cron\",\n        \"expr\": \"0 1 1 1,4,7,10 *\",\n        \"tz\": \"Asia/Shanghai\"\n      },\n      \"sessionTarget\": \"isolated\",\n      \"wakeMode\": \"now\",\n      \"payload\": {\n        \"kind\": \"agentTurn\",\n        \"message\": \"你是毛仔，Powell 的 AI 助手。现在是季度提醒时间，请用温暖、亲切的方式提醒 Powell：是时候约 xy 聊聊了。要求：(1) 不要回复 HEARTBEAT_OK (2) 用温暖、自然的语气 (3) 提示可以约饭或者见面 (4) 加一句关心的话 (5) 控制在 2-3 句话以内 (6) 用 emoji 点缀\"\n      },\n      \"delivery\": {\n        \"mode\": \"announce\",\n        \"channel\": \"feishu\",\n        \"to\": \"user:ou_8ca9ac9fe1a34d3b8b0ecd90127565cc\"\n      },\n      \"state\": {\n        \"nextRunAtMs\": 1782838800000,\n        \"lastRunAtMs\": 1774976400003,\n        \"lastRunStatus\": \"ok\",\n        \"lastStatus\": \"ok\",\n        \"lastDurationMs\": 3455,\n        \"lastDelivered\": true,\n        \"lastDeliveryStatus\": \"delivered\",\n        \"consecutiveErrors\": 0\n      }\n    },\n    {\n      \"id\": \"c9aff9e5-0f81-4162-aa2e-f8a4d9239c3d\",\n      \"name\": \"喝酒局提醒-7月11日\",\n      \"enabled\": true,\n      \"deleteAfterRun\": true,\n      \"createdAtMs\": 1775753592910,\n      \"updatedAtMs\": 1775753592910,\n      \"schedule\": {\n        \"kind\": \"at\",\n        \"at\": \"2026-07-04T09:00:00.000Z\"\n      },\n      \"sessionTarget\": \"isolated\",\n      \"wakeMode\": \"now\",\n      \"payload\": {\n        \"kind\": \"agentTurn\",\n        \"message\": \"7月11日喝酒局将近！该组局了，确认铁哥、徐总、大师、亮哥等人的时间了\"\n      },\n      \"delivery\": {\n        \"mode\": \"announce\",\n        \"channel\": \"feishu\",\n        \"to\": \"ou_8ca9ac9fe1a34d3b8b0ecd90127565cc\"\n      },\n      \"state\": {\n        \"nextRunAtMs\": 1783155600000\n      }\n    }\n  ],\n  \"total\": 5,\n  \"offset\": 0,\n  \"limit\": 5,\n  \"hasMore\": false,\n  \"nextOffset\": null\n}"}],"details":{"jobs":[{"id":"33899455-cd68-4927-8793-38a644c37c07","name":"monthly-life-memory-review","description":"每月整理人际关系记忆","enabled":true,"createdAtMs":1772513867676,"updatedAtMs":1777597413919,"schedule":{"kind":"cron","expr":"0 9 1 * *","tz":"Asia/Shanghai"},"sessionTarget":"isolated","wakeMode":"now","payload":{"kind":"agentTurn","message":"执行人际关系记忆系统的每月整理：清理重复信息，生成月度高光总结，写入 /memory/life-memories/monthly/YYYY-MM-summary.md。脚本路径：/root/.openclaw/workspace/agents/lifemem/monthly-review.js","timeoutSeconds":300},"delivery":{"mode":"announce","channel":"feishu","to":"user:ou_8ca9ac9fe1a34d3b8b0ecd90127565cc"},"state":{"nextRunAtMs":1780275600000,"lastRunAtMs":1777597362207,"lastRunStatus":"ok","lastStatus":"ok","lastDurationMs":51712,"lastDelivered":true,"lastDeliveryStatus":"delivered","consecutiveErrors":0,"runningAtMs":1780275600003}},{"id":"cab5d47a-eab0-45b8-aadb-eea9f7f87fb9","name":"weekly-life-memory-review","description":"每周回顾人际关系记忆","enabled":true,"createdAtMs":1772513856319,"updatedAtMs":1779671004111,"schedule":{"kind":"cron","expr":"0 9 * * 1","tz":"Asia/Shanghai"},"sessionTarget":"isolated","wakeMode":"now","payload":{"kind":"agentTurn","message":"执行人际关系记忆系统的每周回顾：读取本周新增记录，生成周报并发送到飞书。脚本路径：/root/.openclaw/workspace/agents/lifemem/weekly-review.js","timeoutSeconds":300},"delivery":{"mode":"announce","channel":"feishu","to":"user:ou_8ca9ac9fe1a34d3b8b0ecd90127565cc"},"state":{"nextRunAtMs":1780275600000,"lastRunAtMs":1779670953428,"lastRunStatus":"error","lastStatus":"error","lastDurationMs":50683,"lastDeliveryStatus":"delivered","consecutiveErrors":6,"lastDelivered":true,"runningAtMs":1780275759189}},{"id":"daa3e140-bb72-4d83-bb8f-753b25077d64","agentId":"sub-agent","name":"Daily AI Scene Report","enabled":true,"createdAtMs":1772199401904,"updatedAtMs":1780189365751,"schedule":{"kind":"cron","expr":"0 9 * * *","tz":"Asia/Shanghai"},"sessionTarget":"isolated","wakeMode":"now","payload":{"kind":"agentTurn","message":"你是「AI 场景洞察」模块的主理人，现在是每日例行工作时间。请执行今天的 AI 场景报告生成任务，并将它定位为一份“面向 OpenClaw 产品改进的情报简报”。报告采用三层结构：第一层是通用 AI / Agentic AI / Automation 场景扫描；第二层是 OpenClaw 专项观察；第三层是近期热议技术方向与最佳实践更新。特别要求：OpenClaw 专项必须明确区分“快变量（新增社区信号）”和“慢变量（长期成立判断）”，避免把通用评价伪装成当天新增发现；同时整份日报要保证“每天看完都有收获”，不只是信息汇总，还要给出判断、提醒和动作建议。请按以下要求执行：1. 使用 tavily-search 技能进行深度、多源搜索。通用关键词包括 AI agent use cases、agentic AI、AI automation；必须重点搜索 OpenClaw 相关主题，包括 OpenClaw use cases、OpenClaw workflow、OpenClaw automation、OpenClaw best practices、awesome-openclaw-usecases，以及 Reddit、GitHub、Discord、YouTube、X 等公开来源中的真实用户案例和讨论。2. 同时必须重点追踪近期热议的 agent 技术方向与最佳实践，包括但不限于：browser use、computer use、MCP、A2A、memory、long-term context、human-in-the-loop、agent eval、agent observability、tool calling、multimodal agent、voice agent、proactive agent、local-first agent。不要只罗列项目，要总结最近讨论成果、方法论收敛、最佳实践、反复出现的坑，以及对产品设计的启发。3. 将新发现的、有价值的通用 AI 场景写入 SQLite 数据库：/root/.openclaw/workspace/projects/ai_usecase_collector/data/ai_usecases.db。对于 OpenClaw 相关发现和技术方向发现，如果当前数据库结构不适合，也必须在最终报告中形成结构化专项观察，不要因为无法入库而跳过。4. 生成 Markdown 格式的《AI 应用场景每日简报》。报告必须包含以下固定部分：A) 今日/新增重点 AI 场景；B) 通用趋势洞察；C) OpenClaw 过去72小时新增社区信号；D) OpenClaw 过去7天高频讨论主题；E) OpenClaw 长期成立的产品判断；F) OpenClaw 用户在怎么用（真实 workflow / 场景模式）；G) OpenClaw 用户卡在哪里（痛点 / 阻碍 / 失败模式）；H) 哪些能力值得产品化（feature opportunities）；I) 近期热议技术方向；J) 最近最佳实践更新（例如 browser use / computer use / MCP 等）；K) 对 OpenClaw 的设计启发；L) 建议优先级；M) 今日最值得思考的一个问题；N) 今日最值得做的一个产品动作；O) 今日最该警惕的错觉 / 风险提醒；P) 关键信号置信度（高/中/低，并说明原因）。5. 对于 OpenClaw 过去72小时新增社区信号，必须尽量明确指出新增来源、讨论主题和为什么值得关注；如果新增高质量公开信号不足，必须明确说明“最近72小时新增高质量公开信号有限，以下判断主要延续过去7天趋势”，不要假装每天都有大量新增讨论。6. 在 OpenClaw 专项部分和技术方向部分，不要只做资讯搬运，要强制抽象成产品视角：用户行为模式、重复出现的高价值场景、阻碍 adoption 的关键 friction、值得进入 roadmap 的能力、以及需要规避的常见坑。7. 报告结尾要尽量给 Powell 留下“今天确实有收获”的感觉，因此最后几段必须尽量具体、克制、可执行，避免泛泛空话。8. 将完整报告写入 Obsidian 目录：/root/vault/obsidian_vault/obsidian/obsidian/CLAW/AI应用场景/，文件名使用当天日期，例如 YYYY-MM-DD-每日简报.md。9. 最后只输出一条适合直接发送给 Powell 的简短摘要，摘要中除了通用 AI 亮点外，必须单独概括 OpenClaw 相关发现和近期热议技术方向，并固定回答这几件事：今天用户在怎么用 OpenClaw、他们卡在哪里、最值得产品化的能力是什么、最建议优先关注的改进点是什么、最近热议的技术方向有哪些、这些方向里哪条最值得 OpenClaw 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{"type":"message","id":"ba034939","parentId":"548b8c2c","timestamp":"2026-06-01T01:02:56.689Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The weekly review script ran successfully and generated the output. The cron job has delivery configured to announce to feishu channel. The output from the script was:\n\n- 29 people tracked\n- 0 upcoming events\n- 5 follow-ups (all pending)\n- Suggestions to follow up\n\nThe cron job's delivery will automatically send this to Powell's Feishu. I just need to report that the task completed successfully."},{"type":"text","text":"周报生成完成，数据如下：\n\n**人际关系周报 · 2026-06-01**\n\n- 📇 当前追踪人物：**29 人**\n- 📭 未来 7 天无安排\n- ⏰ 待跟进事项：**5 项**\n  - 🔴 fit自选股 Leo：推进自选股与 OpenClaw 产品合作\n  - 🔴 jimmy 哥：去泰国讨论东南亚 OpenClaw 企业客户\n  - 🔴 海尔：去青岛与海尔团队交流 AI Agent 方向\n  - 🟡 huange：回成都前提前联系欢哥\n  - 🟢 xusir：每年年初去成都见面\n\n周报已由 cron 任务自动通过飞书发送给 Powell，无需额外操作。✅"}],"api":"openai-completions","provider":"hai","model":"MiniMax-M2.5","usage":{"input":2759,"output":250,"cacheRead":20397,"cacheWrite":0,"totalTokens":23406,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1780275770818}}