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    Xgmem

    Global Memory MCP server, that manage all projects data.

    5 stars
    JavaScript
    Updated Nov 4, 2025
    ai
    cursor
    mcp
    mcp-server
    typescript
    vscode
    windsurf

    Documentation

    MseeP.ai Security Assessment Badge

    xgmem MCP Memory Server

    xgmem is a TypeScript-based Model Context Protocol (MCP) server for enabling project-specific and knowledge graph-based memory for Claude, LLM agents, and other tools. It supports storing, retrieving, and managing entities, relations, and observations per project, with a focus on flexibility and cross-project knowledge sharing.

    Features

    • Knowledge graph storage for entities, relations, and observations
    • CRUD operations via MCP tools
    • Persistence to disk (memory.json)
    • Docker and TypeScript support

    Use Case

    xgmem is ideal for:

    • Agents and LLMs that need to store and retrieve structured memory (entities, relations, observations) per project.
    • Cross-project knowledge sharing and migration.
    • Scalable, disk-persistent, and queryable memory for agent ecosystems.

    Usage

    MCP Config Example

    Add to your MCP config (e.g., for windsurf):

    json
    "mcpServers": {
        "xgmem": {
          "command": "npx",
          "args": ["-y", "xgmem@latest"]
        }
      }

    Install dependencies

    sh
    npm install

    Build

    sh
    npm run build

    Run (development)

    sh
    npx ts-node index.ts

    Run (production)

    sh
    npm start

    Docker

    sh
    docker build -t xgmem-mcp-server .
    docker run -v $(pwd)/memories:/app/memories xgmem-mcp-server

    This will persist all project memory files in the memories directory on your host.

    How to Save Memory (MCP API)

    To save observations (memory) for a project, call the save_project_observations tool via the MCP API:

    Example JSON:

    json
    {
      "name": "save_project_observations",
      "args": {
        "projectId": "demo-project",
        "observations": [
          {
            "entityName": "Alice",
            "contents": [
              "Alice joined Acme Corp in 2021.",
              "Alice is a software engineer."
            ]
          },
          {
            "entityName": "Bob",
            "contents": [
              "Bob joined Acme Corp in 2022.",
              "Bob is a product manager."
            ]
          }
        ]
      }
    }

    You can use any compatible MCP client, or send this JSON via stdin if running the server directly.

    Tooling and API

    xgmem exposes the following tools:

    • save_project_observations
    • get_project_observations
    • add_graph_observations
    • create_entities
    • create_relations
    • delete_entities
    • delete_observations
    • delete_relations
    • read_graph
    • search_nodes
    • search_all_projects
    • open_nodes
    • copy_memory

    See the get_help tool (if enabled) for documentation and usage examples via the MCP API.

    Configuration

    • Set MEMORY_DIR_PATH env variable to change the memory storage directory (default: /app/memories).

    License

    MIT

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