# myAI Memory

> Use this tool when you need to synchronize personal memory templates across multiple AI interfaces, ensuring consistent user preferences and information. It solves the problem of manual data copying and inconsistency by providing a centralized server for retrieving, updating, and managing structured memory sections. With support for stdio and HTTP transports, myAI Memory Sync is ideal for use cases where seamless data synchronization is crucial, such as maintaining uniform response styles across different platforms.

Canonical page: https://skillsregistry.net/skills/jktfe-myai-memory  
JSON: https://api.skillsregistry.net/v1/skills/jktfe-myai-memory

## Description

myAI Memory Sync is an MCP server that synchronizes personal memory templates across different Claude interfaces, including Claude Desktop, Claude Web, and Windsurf. Built with TypeScript, it provides tools for retrieving, updating, and managing structured memory sections through both stdio and HTTP transports. The implementation features robust error handling, emergency synchronization capabilities, and natural language parsing to convert unstructured text into formatted template sections. It's particularly valuable for maintaining consistent user preferences, personal information, and response styles across multiple AI platforms without manual copying.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jktfe-myai-memory)
- **Repository:** <https://github.com/jktfe/myaimemory-mcp>

## 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": "jktfe-myai-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jktfe-myai-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jktfe-myai-memory/pull`

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