# Brainiall Memory

> Brainiall Memory — com-brainiall-memory. Use this tool when you need to store and retrieve complex semantic information, solve problems related to knowledge retention and recall, or manage large amounts of data across multiple namespaces. Brainiall Memory provides persistent storage, associative recall, and recent memory indexing, allowing for efficient information retrieval and organization. It is ideal for applications requiring advanced memory management and knowledge retrieval capabilities.

Canonical page: https://skillsregistry.net/skills/com-brainiall-memory  
JSON: https://api.skillsregistry.net/v1/skills/com-brainiall-memory

## Description

Persistent semantic memory storage, associative recall, and recent memory index by namespace.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-01

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.brainiall%2Fmemory)

## Use it

MCP endpoint published by the skill: `https://api.brainiall.com/mcp/memory/mcp`

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": "com-brainiall-memory"
    }
  }
}
```

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