# Brain

> Brain — edonzo-brain. Use this tool when you need to enhance Claude Code with persistent long-term memory and Bayesian confidence tracking, solving problems of knowledge retention and uncertainty estimation in AI decision-making. It provides a server-based interface for inputs of code outcomes and outputs of consolidated memory with confidence scores. Use Brain in contexts where reliable and adaptive memory is crucial for AI performance and learning.

Canonical page: https://skillsregistry.net/skills/edonzo-brain  
JSON: https://api.skillsregistry.net/v1/skills/edonzo-brain

## Description

An MCP server that provides persistent, outcome-grounded long-term memory for Claude Code, with Bayesian confidence tracking and background consolidation cycles.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gsg6ekt5vt)
- **Repository:** <https://github.com/EdonZo/brain>

## 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": "edonzo-brain"
    }
  }
}
```

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