# Brain Memory System

> Use this tool when you need to manage complex thinking processes and memory storage, solving problems related to information retention, thought organization, and cognitive analysis. It takes in thoughts, files, and cognitive modes as inputs and produces organized memory structures, thought chains, and system statistics as outputs. Ideal for use in applications requiring advanced cognitive simulations, knowledge management, and intelligent decision-making systems.

Canonical page: https://skillsregistry.net/skills/ddguan-brain-memory-system  
JSON: https://api.skillsregistry.net/v1/skills/ddguan-brain-memory-system

## Description

A TypeScript-based memory and thinking management system implementing both short-term (FIFO cache) and long-term (graph-based persistent) memory with an advanced thinking process framework. Features five cognitive modes (analytical, creative, critical, intuitive, meta-cognitive), thought chain management with branching capabilities, automatic file persistence with backup and recovery, and association-based memory retrieval. Provides comprehensive tools for memory operations, thought process tracking, and system statistics.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ddguan-brain-memory-system)
- **Repository:** <https://github.com/ddguan2010/brain-mcp>

## 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": "ddguan-brain-memory-system"
    }
  }
}
```

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