# mnem-o-matic

> mnem-o-matic — integratedcomputersolutions-mnem-o-matic. Use this tool when you need to enhance the memory of large language models (LLMs) for improved recall and performance. The mnem-o-matic provides a shared memory layer via MCP, solving problems of knowledge retention and consistency in AI applications. It integrates with git, allowing for seamless version control and management of memory inputs and outputs.

Canonical page: https://skillsregistry.net/skills/integratedcomputersolutions-mnem-o-matic  
JSON: https://api.skillsregistry.net/v1/skills/integratedcomputersolutions-mnem-o-matic

## Description

Perfect recall for imperfect machines. A shared memory layer for LLMs via MCP

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **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/integratedcomputersolutions/mnem-o-matic)

## 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": "integratedcomputersolutions-mnem-o-matic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/integratedcomputersolutions-mnem-o-matic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/integratedcomputersolutions-mnem-o-matic/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