chemiguel23/memorymesh 是从 https://github.com/chemiguel23/memorymesh. 导入的 MCP 服务器候选
概览
chemiguel23/memorymesh 是从 https://github.com/chemiguel23/memorymesh. 导入的 MCP 服务器候选
概述（AI 翻译）
MemoryMesh 是一款为 AI 模型设计的知识图谱服务器，专注于基于文本的角色扮演游戏和互动叙事。它帮助 AI 在对话中保持一致、结构化的记忆，实现更丰富、更动态的互动。
该项目基于MCP服务器仓库中的知识图谱内存服务器，并保留其核心功能。
重要
v0.3.0 更新： MCP SDK 已从 v1.0.4 更新到 v1.25.2，以符合当前的模型上下文协议规范（2025-11-25）。这是一次重大更新，使得与最新的 MCP 客户端（包括 Claude Desktop、ChatGPT、Cursor、Gemini 和 VS Code）兼容。更新后，运行 npm install 获取新的依赖。
自v0.2.7起，模式的默认位置改为dist/data/schemas。
这个位置预计未来不会改变，但如果你是从之前的版本更新，务必将你的模式文件迁移到新位置。
快速链接
- 安装
- 示例
- SchemaManager 指南讨论
- MemoryViewer 指南讨论
概述
本页由 AI 翻译，技术细节请以原文为准。
README
以下为原文 README 节选，完整内容请查看原文。
MemoryMesh
MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions.
The project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality.
IMPORTANT
v0.3.0 Update: The MCP SDK has been updated from v1.0.4 to v1.25.2 to comply with the current Model Context Protocol specification (2025-11-25). This is a major update that brings compatibility with the latest MCP clients including Claude Desktop, ChatGPT, Cursor, Gemini, and VS Code. After updating, run npm install to fetch the new dependencies.
Since v0.2.7 the default location of schemas was changed to dist/data/schemas.
This location is not expected to change in the future, but if you are updating from a previous version, make sure to move your schema files to the new location.
Quick Links
Overview
MemoryMesh is a local knowledge graph server that empowers you to build and manage structured information for AI models. While particularly well-suited for text-based RPGs, its adaptable design makes it useful for various applications, including social network simulations, organizational planning, or any scenario involving structured data.
Key Features
- Dynamic Schema-Based Tools: Define your data structure with schemas, and MemoryMesh automatically generates tools for adding, updating, and deleting data.
- Intuitive Schema Design: Create schemas that guide the AI in generating and connecting nodes, using required fields, enumerated types, and relationship definitions.
- Metadata for AI Guidance: Use metadata to provide context and structure, helping the AI understand the meaning and relationships within your data.
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手？先看 mcpskill.org 教程 →配置
"mcpServers": {
"memorymesh": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/YOUR/PROJECT/memorymesh/dist/index.js"]
}
}