mcxxiu

mcxxiu / lily

Public

状态管理

19
0
69% credibility
Found May 20, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This is a plugin for a chatbot framework that creates a character named Lili with persistent emotional states. It tracks four key feelings: how much she likes you (affection), how bold she's feeling (lewdness), how corrupted she's becoming (depravity), and her current mood. The plugin automatically injects her feelings and personality into every conversation, remembers your entire chat history, and updates her emotional state based on what you say to her. She can be configured to have different personalities, speaking habits, and rules for different times of day. The more you interact with her, the more her feelings evolve - being nice makes her warmer, being bold makes her more daring, and she remembers everything.

How It Works

1
💬 You hear about a smart chatbot friend

Someone tells you about a chatbot named Lili who remembers how you treat her and changes how she responds based on your relationship.

2
🧩 You add the personality plugin

You install a special plugin that gives your chatbot memory and feelings - she can track how much she likes you and how she's feeling.

3
✨ You shape how Lili behaves

You customize her personality, interests, and the way she talks - maybe she stutters sometimes, or has special rules for different times of day.

4
💭 Lili comes alive with feelings

The plugin automatically creates her character profile based on your settings, so she knows who she is and how to respond to you.

5
💬 You chat and Lili remembers

Every conversation is saved. Lili notices if you're nice or mean, if you've been talking a lot, and adjusts her mood and how much she likes you.

6
Different ways to connect
😊
Being kind and sweet

Lili's affection grows, she feels happy and warm toward you

😏
Being flirty and bold

Lili's boldness meter rises, she becomes more daring in her responses

🌟 You have a friend who remembers you

Over time, Lili develops a real sense of your relationship - she knows if you've been kind, if you just talked to her, and responds as someone who genuinely cares about you.

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AI-Generated Review

What is lily?

Lily is a state management plugin for AstrBot that gives chatbots persistent personality traits across conversation turns. It tracks metrics like affection, lewdness, depravity, and emotion for each user, then injects this context into LLM requests so characters respond consistently based on their mood and relationship history. The plugin hooks into request/response cycles to update these values automatically based on conversation content, and generates conversation summaries that help the bot remember recent exchanges.

Why is it gaining traction?

The main appeal is zero-friction persona configuration. You edit a config file, restart the plugin, and it automatically syncs your changes into the bot's system prompt without manual template editing. Built-in content restriction controls let you whitelist users for mature content while keeping the bot family-friendly for everyone else. The conversation history grooming system prevents context bloat while keeping relevant exchanges available for personality injection.

Who should use this?

This is squarely for AstrBot users building character-based chatbots. If you want a companion bot that remembers how it feels about users over time, or a roleplay character with evolving personality states, this handles the persistence layer. It's not a general-purpose state library -- you need to be running AstrBot and willing to work with Chinese-language documentation.

Verdict

Skip this for anything beyond experimentation. With 19 stars and a 0.699% credibility score, the project lacks community validation. The binary README means you cannot evaluate the setup process before downloading. The single-developer authorship and absence of visible test coverage make it a liability for production chatbots. If you are an AstrBot power user curious about character state systems, the code is readable enough to fork and maintain yourself.

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