# memory-vault

> memory-vault — apurv101-memory-vault. Use this tool when you need to seamlessly transfer and manage AI memory across different models and interfaces, such as Claude Code, Codex, Cursor, and ChatGPT. It solves the problem of fragmented knowledge and memory loss when switching between AI tools, allowing for a unified and portable memory solution. With a simple command, it integrates with git and enables secure storage and retrieval of markdown files via MCP.

Canonical page: https://skillsregistry.net/skills/apurv101-memory-vault  
JSON: https://api.skillsregistry.net/v1/skills/apurv101-memory-vault

## Description

Portable AI memory that roams with you across models and harnesses — Claude Code, Codex, Cursor, ChatGPT. Plain markdown you own, wired over MCP with one command.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/apurv101/memory-vault)

## 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": "apurv101-memory-vault"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apurv101-memory-vault` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apurv101-memory-vault/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
