# master-memory-unit

> master-memory-unit — 0bifthenelse-master-memory-unit. Use this tool when you need to manage and store AI agent memory locally, solving problems of data persistence and context switching. It provides a durable filesystem storage for long-term memory and Redis-backed short-term context, with a keyboard-first Qt/QML GUI for interaction. Ideal for use cases requiring reliable and efficient memory management, such as training and deploying AI models.

Canonical page: https://skillsregistry.net/skills/0bifthenelse-master-memory-unit  
JSON: https://api.skillsregistry.net/v1/skills/0bifthenelse-master-memory-unit

## Description

Local MCP memory system for AI agents with durable filesystem storage, Redis-backed short-term context, and a keyboard-first Qt/QML GUI.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/0bifthenelse/master-memory-unit)

## 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": "0bifthenelse-master-memory-unit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0bifthenelse-master-memory-unit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0bifthenelse-master-memory-unit/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