# Mnemo

> Use this tool when you need to enhance AI agent memory with a persistent and searchable system, solving problems of knowledge retention and recall in applications requiring hybrid search functionality. Mnemo combines full-text and semantic embedding to provide efficient information retrieval, accepting text inputs and outputting relevant results. Ideal for use cases where AI agents require robust memory and search capabilities, such as knowledge graphs, chatbots, and virtual assistants.

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

## Description

Persistent memory system for AI agents with hybrid search combining full-text (FTS5) and semantic embedding. Features zero-config local embedding with Qwen3, optional cloud embedding, SQLite-vec storage, and automatic cross-machine sync via rclone to Google Drive, S3, and other backends.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-n24q02m-mnemo)
- **Repository:** <https://github.com/n24q02m/mnemo-mcp>

## 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": "gh-n24q02m-mnemo"
    }
  }
}
```

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