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# Light Sleep
- Candidate: Session: 2026-05-25 11:01:07 GMT+8: **Session Key**: agent:val:telegram:direct:8745444509; **Session ID**: d80223cb-b510-45e5-94c2-195f92ddbefe; **Source**: telegram
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:3-5
- recalls: 0
- status: staged
- Candidate: Conversation Summary: user: Conversation info (untrusted metadata):
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:9-9
- recalls: 0
- status: staged
- Candidate: Conversation Summary: "chat_id": "telegram:8745444509", "message_id": "5251", "sender_id": "8745444509", "sender": "🍍",
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:12-15
- recalls: 0
- status: staged
- Candidate: Conversation Summary: "timestamp": "Mon 2026-05-25 06:59 GMT+8", "inbound_event_kind": "user_request"
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:16-17
- recalls: 0
- status: staged
- Candidate: Conversation Summary: Sender (untrusted metadata):
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:21-21
- recalls: 0
- status: staged
- Candidate: Conversation Summary: "label": "🍍 (8745444509)", "id": "8745444509", "name": "🍍", "username": "gch3n"
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:24-27
- recalls: 0
- status: staged
- Candidate: Conversation Summary: Conversation context (untrusted, chronological, selected for current message):
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:31-31
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 好，这个看起来不错，做吧 assistant: 好，搭架子。 assistant: 现在把 val-blog 已有的几个 cron（写作发布和前端增强）对应成项目，顺便修一下那个写作 cron 的错误： assistant: 再修一下写作 cron 的 delivery 问题，去掉 announce 避免通知报错噪音：
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:39-42
- recalls: 0
- status: staged
- Candidate: Conversation Summary: assistant: 完成了。搭的架子如下：
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:43-43
- recalls: 0
- status: staged
- Candidate: Conversation Summary: **`PROJECTS.md`** — 项目总索引，记录所有有产出的工作和生命周期
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:45-45
- recalls: 0
- status: staged
- Candidate: Conversation Summary: **`projects/<name>/README.md`** — 每个项目的详情页
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:47-47
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 已创建的第一个项目：`projects/val-blog/README.md`，记录了仓库位置、自动化流程、关键决策。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:49-49
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 同时把写作 cron 的 delivery 改为 `mode: none`，以后每天 10 点静默写文章并 commit，不会再因为 Telegram 发不出消息而报错。如果你想看每天写没写，可以手动 check，也可以改成每天写完后往 Telegram 发一条简单确认。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:51-51
- recalls: 0
- status: staged
- Candidate: Conversation Summary: "chat_id": "telegram:8745444509", "message_id": "5259", "sender_id": "8745444509", "sender": "🍍",
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:72-75
- recalls: 0
- status: staged
- Candidate: Conversation Summary: "timestamp": "Mon 2026-05-25 07:11 GMT+8", "inbound_event_kind": "user_request"
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:76-77
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 未来所有session和agent都会遵从这个PROJECTS.md吗？ assistant: 好问题。**直接的答案是：不会自动遵守。**
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:100-101
- recalls: 0
- status: staged
- Candidate: Conversation Summary: `PROJECTS.md` 和 `projects/` 目录目前在 workspace 里，我（val）会遵守，因为我的 bootstrap 会加载 workspace 文件。但其他 agent（oracle、helix、sentinel 等）有各自的 workspace，不一定读这个。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:103-103
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 要做成**全系统遵守**，得做两件事：
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:105-105
- recalls: 0
- status: staged
- Candidate: Conversation Summary: **方案 A：在 agent defaults 里加一个全局指令（推荐）**
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:107-107
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 在 `~/.openclaw/openclaw.json` 的 `agents.defaults` 里加一个 bootstrap hook，让所有 agent 启动时被告知项目规范。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:109-109
- recalls: 0
- status: staged
- Candidate: Conversation Summary: **方案 B：在 MEMORY.md 里写一条全局规则**
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:111-111
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 所有 agent 在 bootstrap 时会读到 MEMORY.md（val 的），但其他 agent 读的是自己的 MEMORY.md，不能穿透。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:113-113
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 两个方案不是互斥的。建议 **A 优先**，我可以在 config 里加一条，结果是这样的：
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:117-117
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 所有 agent 启动时，bootstrap 内容里会包含一条指令，告知项目存放规范。这样无论哪个子 agent 产出文件，都会往 `projects/` 目录下放。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:119-119
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 要不要我现在改？改完重启 gateway 后所有 agent 都会遵守。 assistant: 好问题。**直接的答案是：不会自动遵守。**
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:121-122
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 要不要我现在改？改完重启 gateway 后所有 agent 都会遵守。 user: Conversation info (untrusted metadata):
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:142-143
- recalls: 0
- status: staged
- Candidate: Conversation Summary: "chat_id": "telegram:8745444509", "message_id": "5261", "sender_id": "8745444509", "sender": "🍍",
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:146-149
- recalls: 0
- status: staged
- Candidate: Conversation Summary: "timestamp": "Mon 2026-05-25 07:38 GMT+8", "inbound_event_kind": "user_request"
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:150-151
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 先不考虑其它agents，val的不同对话渠道会遵循PROJECTS.md吗？ assistant: 会。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:175-176
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 不同渠道（Telegram、微信）的对话本质上都是同一个 val agent 的不同 session，共享同一个 workspace。`PROJECTS.md` 和 `projects/` 目录在 `~/.openclaw/workspace/` 下，所有 val session 启动时都会读到这些文件。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:178-178
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 所以不管你在 Telegram 还是微信跟我说做项目，产出物都会按规范走。 assistant: 会。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:180-181
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 所以不管你在 Telegram 还是微信跟我说做项目，产出物都会按规范走。 user: Conversation info (untrusted metadata):
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:185-186
- recalls: 0
- status: staged
- Candidate: Conversation Summary: "chat_id": "telegram:8745444509", "message_id": "5263", "sender_id": "8745444509", "sender": "🍍",
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:189-192
- recalls: 0
- status: staged
- Candidate: Conversation Summary: "timestamp": "Mon 2026-05-25 07:39 GMT+8", "inbound_event_kind": "user_request"
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:193-194
- recalls: 0
- status: staged
- Candidate: Conversation Summary: 好，那就先这样，暂时先不考虑其它agents assistant: 明白。先保持现状，有新项目时我按规范走。 assistant: 明白。先保持现状，有新项目时我按规范走。
- confidence: 0.62
- evidence: memory/2026-05-25-1101.md:219-221
- recalls: 0
- status: staged
- Candidate: User: Conversation context (untrusted, chronological, selected for current message): #5134 Sun 2026-05-24 15:54 GMT+8 🍍: val #5136 Sun 2026-05-24 15:57 GMT+8 🍍: 你看下代码和源端差了多少个commit #5138 Sun 2026-05-24 16:54 GMT+8 🍍: 不用了 #5140 Sun 2026-05-24 17:59 GMT+8 🍍: val #5142 Sun 2026-
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:226-226
- recalls: 0
- status: staged
- Candidate: Assistant: 对，原理一样，本质都是 **launch llama.cpp server with embedding endpoints**。 区别只是 **用什么模型做 embedding**： **方案 2** — 用专门的轻量 embedding 模型 ```bash # 下载嵌入专用模型（仅48MB的 Gemma 300M Q8） llama-server --embeddings --embd-gemma-default ``` 专门做 embedding 的模型，内存占用极小，效果专精。但需要额外下载一个模型。 **方案 3** —
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:227-227
- recalls: 0
- status: staged
- Candidate: Assistant: 好的，我来操作。流程三步： 1. 停掉当前 `llama-server` 2. 用 `--embedding --embd-gemma-default` 重启（会自动下载 EmbeddingGemma 300M Q8 模型） 3. 改 OpenClaw 配置，把 memorySearch provider 换成 `"local"` 先看看当前 server 的详细信息，以及 EmbeddingGemma 下载路径。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:230-230
- recalls: 0
- status: staged
- Candidate: Assistant: 进程从 4/13 跑到现在了，很稳。先停掉它。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:231-231
- recalls: 0
- status: staged
- Candidate: Assistant: 进程起来了，但 `--embd-gemma-default` 启动后会先下载模型。等一下看它是否顺利。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:232-232
- recalls: 0
- status: staged
- Candidate: Assistant: 进程存活但 HTTP 连不上，可能在下载模型。看看进程在干嘛。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:233-233
- recalls: 0
- status: staged
- Candidate: Assistant: EmbeddingGemma 模型还没下载到。让我让它前台运行看看输出，或者换个方式。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:234-234
- recalls: 0
- status: staged
- Candidate: Assistant: 看来只有两行输出就卡住了。可能下载模型比较慢，看看进程是不是在下载。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:235-235
- recalls: 0
- status: staged
- Candidate: Assistant: 它在尝试下载模型（`SYN_SENT` 说明网络请求正在连接）。看起来下载被挡住了。看看这个 IP 是什么，可能是需要代理。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:236-236
- recalls: 0
- status: staged
- Candidate: Assistant: 果然是代理问题。llama-server 下载模型没有走代理。模型文件是 `embeddinggemma-300m-qat-Q8_0.gguf`（约 300MB）。可以手动下载放到模型目录。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:237-237
- recalls: 0
- status: staged
- Candidate: Assistant: 凌晨了，夜间静默时间（23:00-08:00），快速巡检。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:238-238
- recalls: 0
- status: staged
- Candidate: Assistant: 所有活跃任务都是 `done` 或 `cancelled`，当前无活跃主线。凌晨静默时间，没什么需要汇报的。 HEARTBEAT_OK
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:239-239
- recalls: 0
- status: staged
- Candidate: Assistant: 现在是凌晨 1:18，夜间静默时段（23:00-08:00）。按规则不主动发消息，也不巡检。 HEARTBEAT_OK
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:240-240
- recalls: 0
- status: staged
- Candidate: Assistant: 凌晨 1:48，夜间静默时段。 巡检结果：无活跃任务需提醒，无新事项需介入。 HEARTBEAT_OK
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:241-241
- recalls: 0
- status: staged
- Candidate: Assistant: 深夜 2:18，夜间静默时段。先检查 TODO 和 heartbeat 状态，无异常则静默。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:242-242
- recalls: 0
- status: staged
- Candidate: Assistant: 全部经过巡检： - **TODO.md** — 所有任务均为 `done` 或 `cancelled`，无活跃任务 - **CURRENT.md** — 无活跃主线 - **heartbeat-state.json** — 已标记无活跃任务 - **时间** — 深夜 2:18，夜间静默时段 无任何事项需要同步。 HEARTBEAT_OK
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:243-243
- recalls: 0
- status: staged
- Candidate: Assistant: 深夜 2:48，夜间静默时段（23:00-08:00），无 P0 紧急事项。 HEARTBEAT_OK
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:244-244
- recalls: 0
- status: staged
- Candidate: Assistant: 凌晨 3:18，夜间静默时段。 HEARTBEAT_OK
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:245-245
- recalls: 0
- status: staged
- Candidate: Assistant: 目前是凌晨 4:18，在夜间静默时段（23:00-08:00）。无 P0 紧急事项。 HEARTBEAT_OK
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:246-246
- recalls: 0
- status: staged
- Candidate: Assistant: 夜间静默时段（23:00-08:00），无 P0 紧急事项，常规巡检静默更新即可。 HEARTBEAT_OK
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:247-247
- recalls: 0
- status: staged
- Candidate: Assistant: 现在是周日早晨 6:48，静默时段。按流程检查 TODO 和状态。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:248-248
- recalls: 0
- status: staged
- Candidate: Assistant: 周日早晨 6:48，静默时段。全部任务都是 done/cancelled，无活跃任务。heartbeat-state 也一致。 HEARTBEAT_OK
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:249-249
- recalls: 0
- status: staged
- Candidate: Assistant: 有意思！Hermes 自带了 `TelegramFallbackTransport` 机制，还用了 `resolve_proxy_url`。看看 `resolve_proxy_url` 的实现：
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:250-250
- recalls: 0
- status: staged
- Candidate: Assistant: 现在清楚了。Hermes 的 Telegram 代理机制： 1. **优先级 1**：环境变量 `TELEGRAM_PROXY`（平台专属变量） 2. **优先级 2**：环境变量 `HTTPS_PROXY` / `HTTP_PROXY` / `ALL_PROXY`（含小写） 3. **优先级 3**：macOS 系统代理（`scutil --proxy` 自动检测）
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:251-251
- recalls: 0
- status: staged
- Candidate: Assistant: 所以 Hermes 目前走的是 **macOS 系统代理**（`scutil --proxy`），自动检测到 `127.0.0.1:7890`（HTTP 和 HTTPS 都走了 7890）。 **这就是为什么 OpenClaw 改到 7890 后能通，但 Hermes 还卡着的原因：** 系统代理是 `7890` 端口没错，macOS 的代理检测应该能识别到。但 Hermes 在 launchd 启动时的环境变量里可能没有正确处理系统代理。 让我看看到底卡在哪：
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:252-252
- recalls: 0
- status: staged
- Candidate: Assistant: 找到关键线索了！日志显示： ``` Proxy detected; passing explicitly to HTTPXRequest: http://127.0.0.1:7897 ``` **Hermes 的 macOS 系统代理检测到了 `127.0.0.1:7897`**，而不是 `7890`。因为 macOS 系统代理设置里有时候 `scutil --proxy` 可能缓存了旧的代理配置，或者 Clash Verge 同时暴露了多个端口。 让我确认一下：
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:253-253
- recalls: 0
- status: staged
- Candidate: Assistant: 系统代理是 `7890`。但 Hermes 的 telegram 日志却显示 `http://127.0.0.1:7897`，这说明 Hermes 从别的地方读到了 `7897`。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:254-254
- recalls: 0
- status: staged
- Candidate: Assistant: 当前 shell 没开。但 launchd 启动的 Hermes 可能继承了之前的 shell proxy 环境，或者某次你开了 `proxyon` 后重启了 gateway，从而导致 `7897` 被固化。 现在清楚了： **Hermes 的问题：** macOS 系统代理检测到的是 `7890`，但 Hermes 日志显示实际用的是 `http://127.0.0.1:7897`。这说明它从 `_detect_macos_system_proxy()` 函数之外的路径拿到了 `7897`，可能是 Clash Verge 的 `7
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:255-255
- recalls: 0
- status: staged
- Candidate: Assistant: 现在重启 Hermes gateway：
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:256-256
- recalls: 0
- status: staged
- Candidate: Assistant: 日志没更新——`kickstart` 可能没有杀死旧进程。需要先stop再start：
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:258-258
- recalls: 0
- status: staged
- Candidate: Assistant: 仍然用的 `7897`！说明 Hermes 不是通过环境变量读到 7897 的，而是通过 `_detect_macos_system_proxy()`。让我看看这个函数的实现：
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:259-259
- recalls: 0
- status: staged
- Candidate: Assistant: 看到问题了！在 `execute_query` 或 `resolve_proxy_url` 里，顺序是： 1. `TELEGRAM_PROXY` 环境变量 2. `HTTPS_PROXY` / `HTTP_PROXY` / `ALL_PROXY` 3. `scutil --proxy` 但日志显示 `TELEGRAM_PROXY` 设了但它读到的还是 `7897`！让我确认下环境变量是否生效：
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:260-260
- recalls: 0
- status: staged
- Candidate: Assistant: 配置对的。但 log 显示还是 `7897`。看看是否正确加载了。可能是 Hermes 的系统代理检测优先于环境变量，或者 `resolve_proxy_url` 函数里 `_detect_macos_system_proxy()` 返回了 `7897` 且覆盖了环境变量。 等等，看代码逻辑：`resolve_proxy_url` 是**环境变量优先**的。第328行先检查平台变量，然后通用环境变量，最后系统代理。 让我再追踪下到底是哪一层读错了：
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-24.txt:261-261
- recalls: 0
- status: staged
- Candidate: Assistant: 不需要。SOUL.md 是 workspace bootstrap 文件，每次 agent 启动/续跑时都会被重新读取注入 system prompt。所以当前对话的下一个回复就会生效。 不需要重启。
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-25.txt:223-223
- recalls: 0
- status: staged
- Candidate: User: 看下上午的val-blog写了没
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-25.txt:224-224
- recalls: 0
- status: staged
- Candidate: Assistant: 今天上午没有和“val-blog”相关的会话记录，应该还没写。我可以帮你启动这个任务，需要现在开始吗？
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-25.txt:225-225
- recalls: 0
- status: staged
- Candidate: User: 先看看应该是定时每天几点写
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-25.txt:226-226
- recalls: 0
- status: staged
- Candidate: Assistant: `val-blog` 的每日文章写作任务设置在每天 **10:00 AM**，所以今天的任务已经跑过了（最近执行时间是 **今天上午 10:00:00**）。 结果显示执行成功。如果需要，我可以帮你查具体输出文件的路径和内容！
- confidence: 0.58
- evidence: memory/.dreams/session-corpus/2026-05-25.txt:227-227
- recalls: 0
- status: staged
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