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):

Install dependencies

Build

Run (development)

Run (production)

Docker

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:

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