# Memorium

> Memorium — updalla-apshir-memorium. Use this tool when you need to retain important information over time, enabling AI assistants to learn from past interactions and make informed decisions. Memorium solves the problem of knowledge loss by automatically storing and retrieving key data via MCP tools, providing a persistent long-term memory. It takes in relevant information as input and outputs recalled data, making it ideal for applications requiring continuous learning and improvement.

Canonical page: https://skillsregistry.net/skills/updalla-apshir-memorium  
JSON: https://api.skillsregistry.net/v1/skills/updalla-apshir-memorium

## Description

Enables AI assistants to have persistent long-term memory by automatically storing and retrieving important information via MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m5ko1pl1lh)
- **Repository:** <https://github.com/updalla-apshir/Memorium>

## 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": "updalla-apshir-memorium"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/updalla-apshir-memorium` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/updalla-apshir-memorium/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
