MemoryMesh

Name: MemoryMesh
Author: CheMiguel23

@CheMiguel23

MemoryMesh について

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

#ai #mcp

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

CheMiguel23

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from MemoryMesh

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).

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.

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.

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.

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.

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