# dbrain

> Use this tool when you need to manage persistent memory for AI assistants, enabling them to recall searchable facts and maintain identity management across multiple clients. It solves problems of knowledge retention and consistency, allowing for more accurate and personalized interactions. Ideal for use cases requiring long-term memory and information retrieval, such as conversational AI and virtual assistants.

Canonical page: https://skillsregistry.net/skills/ivncmp-dbrain  
JSON: https://api.skillsregistry.net/v1/skills/ivncmp-dbrain

## Description

Provides persistent, structured memory for AI assistants across multiple clients, with searchable facts and identity management.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vkitj63hjd)
- **Repository:** <https://github.com/ivncmp/dbrain>

## 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": "ivncmp-dbrain"
    }
  }
}
```

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