# StudioMeyer Memory

> Use this tool when you need to create, query, and manage persistent AI memory with advanced semantic search capabilities. It solves problems related to knowledge storage and retrieval, enabling efficient management of complex data sets. With 53 integrated tools and a user-friendly interface, StudioMeyer Memory is ideal for applications requiring robust knowledge graph storage and authentication.

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

## Description

StudioMeyer Memory provides persistent AI memory with Knowledge Graph storage and semantic search across stored knowledge. It offers 53 tools for creating, querying, and managing memory with Magic Link authentication and a free tier for getting started.

## 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:** security
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/memory)

## 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": "memory"
    }
  }
}
```

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

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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