# memlio

> memlio — yanggaome-memlio. Use this tool when you need to store and retrieve information from your interactions with Claude Code and Codex, such as links, notes, and files. Memlio solves the problem of lost context by allowing you to save and later find memories using descriptive search, all within a local SQLite database using embeddings. It is ideal for use cases where you want to keep track of important information without relying on external APIs or keys.

Canonical page: https://skillsregistry.net/skills/yanggaome-memlio  
JSON: https://api.skillsregistry.net/v1/skills/yanggaome-memlio

## Description

Personal memory for Claude Code and Codex. Save links, notes, and files from inside the agent; find them later by describing what you remember. Local SQLite + embeddings, no API key.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/yanggaome/memlio)

## 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": "yanggaome-memlio"
    }
  }
}
```

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

---
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