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MCP server · Developer Tools

Xgmem

Global Memory MCP server, that manage all projects data.

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Scored 6 months ago · breakdown

About Xgmem

Xgmem is an MCP server in the Developer Tools category: global Memory MCP server, that manage all projects data.

Install

From source
git clone https://github.com/meetdhanani17/xgmem

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

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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):

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

Install dependencies

npm install

Build

npm run build

Run (development)

npx ts-node index.ts

Run (production)

npm start

Docker

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:

{
  "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

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Xgmem

How do I install Xgmem?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Xgmem safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Xgmem still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.