# dmgn

> dmgn — nnlgsakib-dmgn. Use this tool when you need to securely store and manage lifetime memories for AI agents, enabling decentralized and encrypted data access. It solves problems related to data privacy, security, and persistence, providing a reliable interface for inputting, storing, and retrieving memories. Ideal for use cases requiring long-term memory retention and secure data handling, with integration capabilities via git.

Canonical page: https://skillsregistry.net/skills/nnlgsakib-dmgn  
JSON: https://api.skillsregistry.net/v1/skills/nnlgsakib-dmgn

## Description

A decentralized, encrypted, lifetime memory layer for AI agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/nnlgsakib/dmgn)

## 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": "nnlgsakib-dmgn"
    }
  }
}
```

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