# cerebrun

> cerebrun — niyoseris-cerebrun. Use this tool when you need to manage personal context and memories comprehensively, solving problems of information overload and disorganization. It provides a client interface for the Cerebrun system, accepting inputs such as notes, tasks, and memories, and generating outputs like organized knowledge and contextual insights. Ideal for use in scenarios requiring enhanced personal productivity and recall.

Canonical page: https://skillsregistry.net/skills/niyoseris-cerebrun  
JSON: https://api.skillsregistry.net/v1/skills/niyoseris-cerebrun

## Description

MCP client for Cerebrun - comprehensive personal context and memory management system.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/niyoseris-cerebrun)

## 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": "niyoseris-cerebrun"
    }
  }
}
```

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