# xgmem

> Use this tool when you need to enhance the long-term memory of LLM agents by storing and retrieving entities, relations, and observations in a project-specific knowledge graph. xgmem provides disk-persistent storage and supports cross-project knowledge sharing, solving problems of data loss and isolation. It is ideal for use cases requiring persistent and shared knowledge management, with inputs of entity and relation data and outputs of retrieved knowledge graphs.

Canonical page: https://skillsregistry.net/skills/meetdhanani17-xgmem  
JSON: https://api.skillsregistry.net/v1/skills/meetdhanani17-xgmem

## Description

A TypeScript-based MCP server that provides project-specific knowledge graph memory for LLM agents to store and retrieve entities, relations, and observations. It features disk-persistent storage and supports cross-project knowledge sharing to enhance agent long-term memory.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dx29riopfi)
- **Repository:** <https://github.com/meetdhanani17/xgmem>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "meetdhanani17-xgmem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meetdhanani17-xgmem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meetdhanani17-xgmem/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt