# memory

> memory — sunbeamdotpt-memory. Use this tool when you need to efficiently search and retrieve information from your local repository, keeping your searches up-to-date and relevant. It solves problems of information overload and outdated search results by providing a current and accurate index of your data. With git capabilities, it accepts repository inputs and outputs relevant search results, making it ideal for use cases where timely and precise information retrieval is crucial.

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

## Description

A local MCP search engine for your AI assistants that keeps your searches current

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/sunbeamdotpt/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": "sunbeamdotpt-memory"
    }
  }
}
```

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