# myBrAIn

> Use this tool when you need to enhance language models with persistent memory and contextual awareness, solving problems of project knowledge retention and code consistency across sessions. It provides inputs for project onboarding and architectural rules, and outputs consistent code recall, streamlining development workflows. Ideal for use cases requiring continuous learning and memory retention in AI-powered coding applications.

Canonical page: https://skillsregistry.net/skills/lilium360-mybrain  
JSON: https://api.skillsregistry.net/v1/skills/lilium360-mybrain

## Description

MCP server that provides persistent memory and contextual awareness to language models, enabling project onboarding, recall of architectural rules, and code consistency across sessions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r9u8ef5euq)
- **Repository:** <https://github.com/lilium360/myBrAIn>

## 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": "lilium360-mybrain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lilium360-mybrain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lilium360-mybrain/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