# memvault

> memvault — swap-mitra-memvault. Use this tool when you need to provide transparent and explainable memory management for AI agents, enabling them to retrieve and prove the accuracy of stored data. Memvault solves problems of data integrity and trust by offering a local-first approach with robust retrieval explanations and proof of forgotten information. It accepts data inputs and outputs explanations and proofs, ideal for use cases requiring high data reliability and transparency.

Canonical page: https://skillsregistry.net/skills/swap-mitra-memvault  
JSON: https://api.skillsregistry.net/v1/skills/swap-mitra-memvault

## Description

Local-first memory for AI agents that explains every retrieval and proves what it forgot. One Rust binary, MCP server, Python bindings.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **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/swap-mitra/memvault)

## 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": "swap-mitra-memvault"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/swap-mitra-memvault` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/swap-mitra-memvault/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