リソース詳細 · 人格系统
LangGPT：给原创聊天角色写一张清楚的设定卡
把性格、表达习惯和当前任务分开填写，让角色有自己的说话方式，而不是堆一长串形容词。
本文・例・ライセンスは原文のままです。コードを表示するだけで、オンライン実行やAI呼び出しは行いません。
リソース詳細
适合已在使用聊天 AI、想练习原创角色或日常小剧场的人。先做一张短卡片，不用安装插件或下载模型；真正记忆和定时生活仍需应用实现。
始める前に
- 対応環境
- 跨平台
- 更新日
- 浏览器和自己选择的聊天模型即可；使用模型服务需遵守其条款与费用。
- 准备一个原创角色名字、两个兴趣和一句当前话题；不填写真人隐私。
よくある注意点
- 固定 README 徽章仍标 MIT，但实际根 LICENSE 为 Apache-2.0；本条以完整许可为准。
- PromptShow 子目录另有 Carbon 的 MIT 许可，不能把主框架与所有第三方人物卡、图片混为一种授权；本条不搬这些素材。
- 不要照搬固定 README 中“永不脱离角色”等绝对要求；本站练习明确为虚构角色交流，保留事实更正和结束场景的能力。
- 提示词本身不会创建定时器、保存数据库或接入微信。
本文全文
【小目标】你有一张自己写的短角色卡，并能指出修改前后的一项实际表达差异；这不是角色具有真实身份或自动长期记忆的证明。
【开始前准备】浏览器和自己选择的聊天模型即可；使用模型服务需遵守其条款与费用。
准备一个原创角色名字、两个兴趣和一句当前话题；不填写真人隐私。
【三步尝试】1. 把设定拆成四项：先写角色定位、说话习惯、交流规则和当前话题。用本站自己的原创角色，例如喜欢收集书签、说话简短的旧书店店员。
2. 只试三轮短对话：把自己填写的短卡发给已有聊天工具，再聊一句普通近况；三轮内观察角色是否回答当前话题、语气是否稳定。
3. 改一个具体问题：如果太热情，就把规则改成初识时礼貌但不预设熟悉；如果回复太长，就写普通闲聊一到三句。一次只改一项再比较。
【适用边界】固定 README 徽章仍标 MIT，但实际根 LICENSE 为 Apache-2.0；本条以完整许可为准。
PromptShow 子目录另有 Carbon 的 MIT 许可，不能把主框架与所有第三方人物卡、图片混为一种授权；本条不搬这些素材。
不要照搬固定 README 中“永不脱离角色”等绝对要求；本站练习明确为虚构角色交流，保留事实更正和结束场景的能力。
提示词本身不会创建定时器、保存数据库或接入微信。
【来源与许可】官方仓库 langgptai/LangGPT；固定提交 c8864d748e7cb8437427721eed756f6e578e6c9b，提交日期 2026-09-11（UTC）。本条在2026-10-27核对，不宣称为今日热榜项目。
上游主代码采用 Apache-2.0，允许按条款商用、修改与再分发；分发需附完整许可，保留适用声明，修改文件标明更改，商标不随许可授予。
本条是本站原创导览，按 CC BY 4.0 分享；仅核对官方资料和完整许可，不附上游源码、安装包、图标、图片、人物卡或模型。未安装运行上游项目，未调用模型实测，也未进行安全审计。依赖、素材、模型及云服务仍需分别核对。使い方
适合已在使用聊天 AI、想练习原创角色或日常小剧场的人。先做一张短卡片，不用安装插件或下载模型；真正记忆和定时生活仍需应用实现。
把设定拆成四项
先写角色定位、说话习惯、交流规则和当前话题。用本站自己的原创角色，例如喜欢收集书签、说话简短的旧书店店员。
只试三轮短对话
把自己填写的短卡发给已有聊天工具，再聊一句普通近况；三轮内观察角色是否回答当前话题、语气是否稳定。
改一个具体问题
如果太热情，就把规则改成初识时礼貌但不预设熟悉；如果回复太长，就写普通闲聊一到三句。一次只改一项再比较。
期待される出力
你有一张自己写的短角色卡，并能指出修改前后的一项实际表达差异；这不是角色具有真实身份或自动长期记忆的证明。
本条是本站原创导览，按 CC BY 4.0 分享；仅核对官方资料和完整许可，不附上游源码、安装包、图标、图片、人物卡或模型。未安装运行上游项目，未调用模型实测，也未进行安全审计。依赖、素材、模型及云服务仍需分别核对。
適した用途
- 适合已在使用聊天 AI、想练习原创角色或日常小剧场的人。先做一张短卡片，不用安装插件或下载模型；真正记忆和定时生活仍需应用实现。
使用前の注意
- 固定 README 徽章仍标 MIT，但实际根 LICENSE 为 Apache-2.0；本条以完整许可为准。
- PromptShow 子目录另有 Carbon 的 MIT 许可，不能把主框架与所有第三方人物卡、图片混为一种授权；本条不搬这些素材。
- 不要照搬固定 README 中“永不脱离角色”等绝对要求；本站练习明确为虚构角色交流，保留事实更正和结束场景的能力。
- 提示词本身不会创建定时器、保存数据库或接入微信。
作者と出典
- クレジット
- 本站导览
- 上流の作者
- 云中江树（Yunzhong Jiangshu）及 LangGPT 贡献者；以固定 README 作者说明为依据
- 出典バージョン
c8864d748e7cb8437427721eed756f6e578e6c9b- ライセンス確認日
- 2026-10-27
通知と変更内容
官方仓库 langgptai/LangGPT；固定提交 c8864d748e7cb8437427721eed756f6e578e6c9b，提交日期 2026-09-11（UTC）。本条在2026-10-27核对，不宣称为今日热榜项目。
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検証範囲
资料与许可已核对
只核对项目资料和许可记录；未安装运行上游项目，也未进行安全审计。
2026-10-27