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Liyuan MCP Server

weidu12123/Liyuan

Score: 79.5 Rank #2081 MCP Server
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梨园 Liyuan — 以 rp agent为主体的ai角色扮演应用

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Overview

weidu12123/Liyuan is a TypeScript tool. 梨园 Liyuan — 以 rp agent为主体的ai角色扮演应用 Topics: agent, ai, ai-agent, ai-roleplay, character-card, llm, mcp, nodejs, roleplay, sillytavern, typescript, websocket.

Ranked #2081 out of 24846 indexed tools.

In the top 9% of all indexed tools.

Ecosystem

TypeScript NOASSERTION
agentaiai-agentai-roleplaycharacter-cardllmmcpnodejsroleplaysillytaverntypescriptwebsocket

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 265

265 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 100%

10/10 issues closed → responsive maintainer

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 35
Description Brief
License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

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Freshness high impact

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From the README

# 梨园 Liyuan

**基于 pi 构建的 RP Agent**  
Liyuan is an RP Agent built on pi, designed to bring coding agent capabilities into role-playing.

📖 **[使用文档](https://docs.liyuan.pro)** · 🚀 **[下载发布版](https://github.com/weidu12123/Liyuan/releases)**

---

## 梨园是什么

梨园是基于 pi 构建的 RP Agent,将 coding agent 的诸多能力 RP 化。目标是以 agent 架构解决传统 rp 项目的诸多问题,为用户带来更好的角色扮演体验。

---

## 梨园的 RP 化

梨园的整个创作思路可以被概括为 agent 的 RP 化,通过类比 coding agent 的诸多能力并将其 RP 化。

| Coding Agent | 梨园 RP 化 |
|---|---|
| 项目文件夹(Workspace / cwd) | 角色卡独立空间(一卡一目录) |
| 代码 | 剧情正文 |
| 代码局部修改(Edit / Patch) | 局部定点改稿 |
| 代码匹配工具(Grep / Search) | 文本匹配工具 |
| 代码版本回退(Rewind / Checkpoint) | 稿件回滚与上一拍修订 |
| 上下文压缩(Compact) | 剧情向压缩(前情提要) |
| 跨会话记忆(Codex Memories) | 卡级记忆(复盘、合并与遗忘) |
| 关键操作确认(Permission Gate) | 剧情分岔决策卡 |
| 规则分层(SYSTEM.md / AGENTS.md) | 引擎协议与卡片世界法则 |

---

## 核心能力

### 1. 记忆能力
- **纯净上下文与剧情压缩**:harness 确定性过滤过程数据,长篇对话按叙事逻辑汇总为前情提要。
- **即时状态与登场名录**:旁路自动记账时间、地点、物品与人物在场状态,每拍锚定防止设定漂移。
- **设定集按需检索**:世界书与知识库不占常驻窗口,模型在需要时主动按需检索设定原文。
- **卡级跨会话记忆与遗忘**:局复盘自动合并
Read full README on GitHub →

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