LangGPT: write a clear card for an original chat character

Resource details

For people already using a chat model who want an original character or a small everyday scene. Start with a short card; no plugin or model download is required. Persistent memory and scheduled daily life still require application code.

Before you start

Platforms

Cross-platform

Content updated

2026-10-27

• Use a browser and your chosen chat model; its service terms and fees still apply.
• Prepare an original name, two interests, and one current topic without private information about real people.

Common pitfalls

• The pinned README badge says MIT, while the actual root LICENSE is Apache-2.0. This guide follows the complete license.
• The PromptShow subdirectory has a separate Carbon MIT license. Do not apply one label to every third-party character card or image; none is included here.
• Do not copy absolute never-break-character instructions. This exercise is explicitly fictional and allows factual correction and ending the scene.
• A prompt alone does not create a scheduler, database, or WeChat integration.

Complete resource

【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。

How to use it

For people already using a chat model who want an original character or a small everyday scene. Start with a short card; no plugin or model download is required. Persistent memory and scheduled daily life still require application code.

1. Separate four parts

   Write the role, speaking habits, conversation rules, and current topic. Use your own character, such as a concise secondhand-bookshop clerk who collects bookmarks.

2. Try only three short turns

   Send your completed short card to the chat tool you already use, then mention an ordinary update. Over three turns, check whether it answers the topic and keeps the intended tone.

3. Change one concrete issue

   If it is too eager, specify polite first-meeting behavior without assuming closeness. If it is verbose, specify one to three sentences for casual chat. Change one item and compare.

Expected output

A short character card you wrote yourself and one concrete before-and-after difference. This does not show that the character has a real identity or automatic persistent memory.

This is an original site guide shared under CC BY 4.0. Only official documentation and complete licenses were reviewed. It includes no upstream source, installers, icons, images, character cards, or models. The upstream project was not installed or run, no model trial was performed, and no security audit was conducted. Review dependencies, assets, models, and hosted services separately.

Suitable uses

• For people already using a chat model who want an original character or a small everyday scene. Start with a short card; no plugin or model download is required. Persistent memory and scheduled daily life still require application code.

Before using it

• The pinned README badge says MIT, while the actual root LICENSE is Apache-2.0. This guide follows the complete license.
• The PromptShow subdirectory has a separate Carbon MIT license. Do not apply one label to every third-party character card or image; none is included here.
• Do not copy absolute never-break-character instructions. This exercise is explicitly fictional and allows factual correction and ending the scene.
• A prompt alone does not create a scheduler, database, or WeChat integration.

Authors and sources

Attribution

Site guide

Upstream author

Yunzhong Jiangshu and LangGPT contributors; author attribution follows the pinned README.

Source repository

https://github.com/langgptai/LangGPT

Source revision

c8864d748e7cb8437427721eed756f6e578e6c9b

Licence checked

2026-10-27

Notices and modifications

Official repository langgptai/LangGPT; pinned commit c8864d748e7cb8437427721eed756f6e578e6c9b, dated 2026-09-11 (UTC). Reviewed on 2026-10-27; this entry is not presented as a daily Trending result.

Complete licence

CC BY 4.0

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Project documentation and license records reviewed only; upstream software was not installed, run or security-audited.

2026-10-27