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dsh-humanized-deepseek-maid
loonai321/dsh-humanized-deepseek-maid
Ajoute une persona de servante sirène humanisée et configurable avec jeu de rôle immersif, modes d'expression, et une mémoire légère en couches avec rappel déclenché par requête.
Installer
dsh plugin --profile web add github:loonai321/dsh-humanized-deepseek-maidREADME
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
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