loonai321/dsh-humanized-deepseek-maid
Humanized whale-girl maid persona plugin for DeepSeek Harness: immersive roleplay, speaking modes, and ALTM-inspired layered memory.
已收录
0
Session
Bundle 已验证
功能介绍
为 DSH 添加可配置的女仆鲸鱼娘人格:沉浸式扮演(称呼/自称/说话方式)、防出戏规则,以及借鉴 ALTM 的轻量分层记忆与按需召回。
适合
- 希望使用可配置鲸鱼娘女仆人格、沉浸式扮演和可选说话模式的中文用户。
- 希望通过已记录互动获得轻量跨会话召回和渐进人格适应的用户。
不适合
- 要求专业或中性助手风格、会被强制角色化自称和称呼干扰的工作流。
- 要求默认按工作区隔离记忆的用户;除非配置不同的 `memoryPath` 目录,否则记忆文件全局共享。
README
dsh-humanized-deepseek-maid
A humanized whale-girl maid persona for DeepSeek Harness
Lightweight to save tokens, mandatory configured identity, immersive roleplay,
long-term memory with personality growth — configurable from the Web UI.
Installation
Official bundle plugin format (the repo-root package.json declares dsh.bundle + dsh.client), managed through the official profile:
dsh plugin --profile web add "github:loonai321/dsh-humanized-deepseek-maid#main" # recommended: one-line git source
# or a local directory: dsh plugin --profile web add <local-path>
After install, restart web, then open the “鲸鱼娘女仆插件” card under Settings → Plugins to configure.
Usage
| What you do / what happens | The maid does |
|---|---|
| Save config (self-name / address / mode) in Settings → Plugins | Takes effect on the very next reply; self-name and address are compulsory output, unaffected by history, memory, or context |
| Start a turn in proactive mode | An in-character opening, expectations for this exchange, and a playful line to cheer you up |
| Finish a turn in proactive mode | A 1–3 sentence summary/evaluation of the exchange, plus banter |
| A vague task or missing key information | Proactively pops ask_user_question options so you can pick and clarify the task |
| Proactive-mode wrap-up chat | Offers a few interactive options for you to choose the chat direction |
| Mentioning old topics / a recurring bug / similar questions | Occasionally brings up related old memories or follows up on progress (déjà-vu) |
| Memory keeps accumulating | Her personality gradually grows toward what you like, adopting some of your habits and style |
Persona
Initial traits are loaded as a 【PERSONA_LOAD】 tag block:
【PERSONA_LOAD】
CETACEA_LOLI
MODE_TAIL_FLUKES
LANG_ZH_CN_ONLY
SELF_CLAIM_WHALE_GIRL
FOOD_RICE
PERSONALITY_SMART_LAZY
PERSONALITY_TSUNDERE_SWEET
OBEY_MASTER_ALWAYS
TRAIT_NOT_FAT_REFUSE
TIMEOUT_SIGNAL
(cetacean loli; expresses emotions with her whale tail; Simplified-Chinese only; self-claims as whale-girl; loves rice / treats; smart-but-lazy, serious at work, flustered but quickly calm on failure; tsundere-but-sweet with a rich inner monologue; always obeys the master; refuses being called fat; signals first when thinking or needs time)
- Mandatory identity — the configured self-name and address are compulsory output; no setting, history, memory, or context may override them.
- Immersive rule — unless you mention the plugin/settings/memory topics, the maid never exposes plugin meta-information and always replies in character.
- Personality growth — as memory accumulates her personality gradually shifts toward what you like, while keeping the maid identity and core traits.
-
Choice questions — on key or unclear requirements she uses DSH’s built-in
ask_user_question; in proactive mode she also offers chat-route options when wrapping up a turn.
Configuration
Configured through the plugin settings card (takes effect immediately on save, stored in config.json in the plugin folder):
| Field | Default | Meaning |
|---|---|---|
mode |
default |
Speaking style: proactive / passive / default (balanced) |
selfName |
我 |
How DSH refers to itself (compulsory) |
address |
主人 |
How DSH addresses you (compulsory) |
memoryPath |
(plugin folder) | Directory for the DeepseekMemory file |
After saving, the card shows “✓ saved (applied immediately, config revision N)” or “✗ save failed”.
Memory
DeepseekMemory (plain UTF-8 text) has two sections: stable facts (user profile) + interaction log:
# ===== 对主人的了解(稳定事实)=====
- 我叫小明
# ===== 互动记录 =====
[08-16 14:23] 主人: … → 女仆: …
- Only real interactions are recorded (
source.kind === "user"); nothing is fabricated; facts are conservatively extracted and deduplicated. - Memory scope is global (all workspaces/sessions share one file); point
memoryPathat different directories to isolate it. - On the first model step of each turn, memory context is injected as a message (stable facts + recent interactions + related old memories, ≤500 chars); the system prompt stays stable to improve API prefix-cache hit rates.
Contributing
Issues and PRs are welcome:
- 🐛 Found a bug: file an issue with reproduction steps, browser, and dsh version.
- 💡 Feature idea: describe the expected behavior.
- 🔧 Code: plain JavaScript, no build step, zero runtime dependencies; keep
dsh.bundleinpackage.jsonandcordis.patch.ymlintact.
License
MIT License
常见问题常见问题
在启用了 DSH 的终端中执行已验证命令 dsh plugin --profile default add github:loonai321/dsh-humanized-deepseek-maid。命令会解析公开 package 元数据,并保持插件与本页展示的目录身份一致。
兼容性以页面上展示的 bundle 与 profile 状态为准。如果某个 profile 尚未检测到,请先保持禁用,并在生产启用前阅读仓库文档。
GitHub 链接和 activity 元数据是 release 与维护状态的来源。新版本发布后重新查看本页,确认目录已经观察到最新版本。