# io.github.thebasedcapital/brainbox

> Use this tool when you need to enhance AI agent memory with Hebbian learning, enabling file pattern recognition and tool prediction to optimize workflow and token management. It solves problems related to repetitive task automation and workflow optimization by learning from file interactions and predicting the next required tools. The tool takes file patterns and usage data as inputs and outputs predicted tool suggestions and optimized token allocations.

Canonical page: https://skillsregistry.net/skills/io-github-thebasedcapital-brainbox  
JSON: https://api.skillsregistry.net/v1/skills/io-github-thebasedcapital-brainbox

## Description

Hebbian memory for AI agents. Learns file patterns, predicts next tools, saves tokens.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.6
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.thebasedcapital%2Fbrainbox)
- **Repository:** <https://github.com/thebasedcapital/brainbox>

## 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-thebasedcapital-brainbox"
    }
  }
}
```

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