# mnemo

> mnemo — omermaksutii-mnemo. Use this tool when you need to retain information and context across conversations, enabling your AI to build upon previous interactions and learn from experience. Mnemo solves the problem of knowledge loss and repetition by providing persistent memory for Claude Code, allowing for more efficient and effective conversations. It integrates with git, accepting code inputs and outputs to store and retrieve relevant data.

Canonical page: https://skillsregistry.net/skills/omermaksutii-mnemo  
JSON: https://api.skillsregistry.net/v1/skills/omermaksutii-mnemo

## Description

Persistent memory for Claude Code. Your AI never starts from scratch again.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/omermaksutii/mnemo)

## 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": "omermaksutii-mnemo"
    }
  }
}
```

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