# io.github.Muvon/octobrain

> Use this tool when you need to enhance your AI assistant's memory and knowledge retrieval capabilities. It provides persistent memory with semantic search and knowledge graph relationships, solving problems of information loss and disconnection. Ideal for use cases requiring contextual understanding and intelligent data association, it takes in knowledge inputs and outputs relevant, related information.

Canonical page: https://skillsregistry.net/skills/io-github-muvon-octobrain  
JSON: https://api.skillsregistry.net/v1/skills/io-github-muvon-octobrain

## Description

Persistent memory for AI assistants with semantic search and knowledge graph relationships.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.3.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Muvon%2Foctobrain)

## 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": "io-github-muvon-octobrain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-muvon-octobrain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-muvon-octobrain/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