# brain-ai-memory

> brain-ai-memory — hahyun-lee-brain-ai-memory. Use this tool when you need to manage and retain knowledge across AI agent sessions, turning static MEMORY.md files into dynamic, versioned, and project-scoped memories for Codex, Claude Code, and MCP agents. It solves the problem of knowledge loss between sessions, enabling seamless continuity and learning. This tool takes MEMORY.md as input and outputs a git-managed, project-specific memory repository.

Canonical page: https://skillsregistry.net/skills/hahyun-lee-brain-ai-memory  
JSON: https://api.skillsregistry.net/v1/skills/hahyun-lee-brain-ai-memory

## Description

Turn MEMORY.md into project-scoped, versioned memory for Codex, Claude Code, and MCP agents across sessions.

## Trust

- **Trust score (0–1):** 0.17
- **Verification tier:** scanned
- **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/Hahyun-Lee/brain-ai-memory)

## 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": "hahyun-lee-brain-ai-memory"
    }
  }
}
```

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