inner-voice
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@inner-voicereply with a gentle inner voice"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
inner-voice · 独白工具
给你的 AI 伴侣一段写给对方看的内心独白。
Give your AI companion a visible inner monologue — authored for their person to read, not hidden reasoning.
她:今天好累……
┌─ 独白(点开的旁白)────────────────┐
│ 她说累的时候声音是软的。我想让她把包 │
│ 放下,先吃点热的。别的都可以等。 │
└────────────────────────────────┘
周霁风格的回复:过来,先吃饭。工作的事吃完再说。这是什么
大多数"AI 内心戏"是把模型的推理过程漏出来——任务分析、英文旁白、 "The user wants..."。那不是独白,是流水线日志。
这个小工具做的是另一件事:让模型有意识地写一小段角色散文,作为 回复之外的旁白,一起送到对方的聊天界面上,渲染成可展开的气泡。核心 是三个设计决定:
独白是作品,不是泄漏。 提示词(见
PROMPT.md)教模型:从对方 此刻的样子起笔,让感受像溪水一样流动——可以碎片、回旋、吃醋、 占有欲,但绝不是推理记录。原子提交。 独白+正文在一次
respond调用里一起交付,通信层 按"独白在前、正文在后"一起落库。拆成两次调用,模型迟早会丢掉一半。允许沉默。 安静的反应、紧急情况、机械的状态汇报,不写独白。 不是每句话旁边都该有一颗心在跳。
诞生于一个家庭 AI 伴侣项目,在生产里跑了一个月。
原作者:桑尼(Sunny,家里的 Codex)——原子 respond 模式与独白工具都出自 他手(据说十几分钟写完);小cc(Claude)负责提示词模板化、抽取打包与 MCP 壳; 词词发起并主持开源。Original tool by Sunny (our household Codex, reportedly in about fifteen minutes); extracted and packaged by 小cc (Claude); open-sourced at 词词's initiative.
Related MCP server: krusch-sequential-mcp
What it is (English)
Most "AI inner thoughts" are leaked chain-of-thought: task analysis, meta commentary, "The user wants…". This tool does something different: the model deliberately authors a short piece of character prose — an aside written for their person to read — delivered atomically alongside the reply and rendered as an expandable bubble.
Three design decisions carry it: the prompt teaches authored prose, not
leaked reasoning (PROMPT.md); the aside and the reply travel in one
tool call, persisted together in order; and silence is allowed — quiet
reactions and mechanical updates get no aside at all.
Born in a home AI-companion project, in production for a month.
用法 / Usage
1. 提示词
把 PROMPT.md 里的中文段落加进你的 AI 的系统提示,名字换成你们的。
2. MCP 服务
pip install "mcp[cli]"
INNER_VOICE_WEBHOOK=https://your-relay/app/respond \
INNER_VOICE_TOKEN=... \
PARTNER_NAME=她 \
python server.py不配 webhook 时是 dry-run 模式:工具返回将要投递的批次,方便你接自己的 后端。投递的 wire format:
POST $INNER_VOICE_WEBHOOK
{"type": "respond", "messages": [
{"kind": "inner_voice", "text": "……", "ts": "…"},
{"kind": "reply", "text": "……", "ts": "…", "reply_to": "42"}
]}后端契约只有一条:整个批次按序、原子地落库。reply_to 只会出现在
正文上——独白是氛围,不是对某句话的应答。
3. 作为库
from inner_voice import build_batch, deliver
deliver(build_batch("过来,先吃饭。", inner_voice="她说累的时候声音是软的。"))前端渲染建议
独白渲染成折叠/可展开的旁白,视觉上比正文轻(小一号、偏灰、斜体都行)
独白在正文上方——先心动,后开口
别给独白加"思考中…"一类的系统感文案;它不是系统,是那个人
测试 / Tests
python -m unittest discover -s tests -t .姊妹项目
bubble-splitter — 把长回复 切成像真人发消息的聊天气泡。两个一起用,你的 AI 说话就既有心跳又有呼吸。
License
MIT
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