# com.memxus/memxus

> Use this tool when you need to access and manage AI memories across multiple platforms, solving the problem of fragmented knowledge recall. It provides a unified interface for saving and recalling memories, accepting input from various AI models and outputting relevant information to platforms like Claude, ChatGPT, and VS Code. This enables seamless knowledge sharing and retrieval, making it ideal for use cases requiring consistent AI memory management.

Canonical page: https://skillsregistry.net/skills/com-memxus-memxus  
JSON: https://api.skillsregistry.net/v1/skills/com-memxus-memxus

## Description

Persistent memory layer that saves and recalls your project context and preferences.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.memxus%2Fmemxus)
- **Repository:** <https://github.com/gpitrella/memxus-remote-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.memxus.com/mcp`

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": "com-memxus-memxus"
    }
  }
}
```

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