# mnemo

> mnemo — n24q02m-mnemo. Use this tool when you need to retain and retrieve information across interactions, leveraging a persistent AI memory with hybrid search capabilities. It solves problems of data loss and inconsistency, enabling seamless knowledge management and synchronization. Ideal for use cases requiring unlimited, open, and free data storage, with integration via git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/n24q02m-mnemo  
JSON: https://api.skillsregistry.net/v1/skills/n24q02m-mnemo

## Description

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/n24q02m/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": "n24q02m-mnemo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/n24q02m-mnemo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/n24q02m-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