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MemoryMesh MCP Server

@CheMiguel23

代码仓库

基本信息

分类

记忆与知识

许可证

MIT

传输方式

stdio

作者

CheMiguel23

关于 MemoryMesh MCP Server

A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.

#ai#mcp

MemoryMesh MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "MemoryMesh": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "memorymesh",
        "--client",
        "claude"
      ]
    }
  }
}

MemoryMesh MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is MemoryMesh?

MemoryMesh is a local 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 and is built upon the MCP Knowledge Graph Memory Server.

How to use MemoryMesh?

After installing dependencies with npm install, place your schema files (.schema.json) in the dist/data/schemas directory. The server automatically detects schemas and generates dynamic tools. Data is stored by default in dist/data/memory.json. A companion Memory Viewer web app can load and visualize the memory file.

Key features of MemoryMesh

  • Dynamic schema-based tools: automatically generated add/update/delete tools
  • Intuitive schema design with required fields, enums, and relationships
  • Metadata for AI guidance on entity purpose and connections
  • Relationship handling to create edges between related nodes
  • Informative error feedback to help the AI improve
  • Event system tracking all knowledge graph modifications
  • 11 pre-built schemas for text-based RPGs

Use cases of MemoryMesh

  • Text-based RPGs with persistent, structured character and world memory
  • Interactive storytelling with consistent lore tracking
  • Social network simulations with entity relationships
  • Organizational planning with structured data management
  • Any scenario requiring structured data for AI models

常见问题

1

Where should schema files be placed?

Place your schema files (`.schema.json`) in the `dist/data/schemas` directory. Files must be named with a prefix `add_` (e.g., `add_npc.schema.json`).

2

Where is the memory data stored?

By default, the knowledge graph data is stored in a JSON file at `dist/data/memory.json`. You can load this file into the Memory Viewer for inspection.

3

How does dynamic tool generation work?

MemoryMesh reads your schema definitions and automatically creates three tools per entity type: `add_<entity>`, `update_<entity>`, and `delete_<entity>`. These tools are then available for AI clients.

4

What changed in v0.3.0 and how do I update?

Version 0.3.0 updates the MCP SDK from v1.0.4 to v1.25.2 for compatibility with the latest MCP specification (2025-11-25). After updating, run `npm install` to fetch new dependencies. Since v0.2.7, the default schema location changed to `dist/data/schemas`; move your schema files if upgrading from an earlier version.

5

What are the runtime requirements?

MemoryMesh is a TypeScript project. It requires Node.js and the MCP SDK. The server runs locally and is compatible with MCP clients like Claude Desktop, ChatGPT, Cursor, Gemini, and VS Code.

评论

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