# claude-brain

> claude-brain — sophiacave-claude-brain. Use this tool when you need to manage persistent AI memory and retrieve stored information. The claude-brain tool solves problems related to data storage and retrieval, providing four key functions: searching, writing, context management, and querying, with a local-first approach and native Claude integration. It accepts various inputs and outputs, including git capabilities, making it ideal for use cases requiring robust AI memory management.

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

## Description

MCP server for persistent AI memory. 4 tools: brain_search, brain_write, brain_context, brain_query. Local-first, Claude-native.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sophiacave/claude-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": "sophiacave-claude-brain"
    }
  }
}
```

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