nvwalj

nvwalj / ai-memory-reader

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The native macOS & iOS app for browsing AI agent memory files — Claude Code, OpenClaw, Codex, Cursor, Gemini

nvwalj.github.ioai-memory-reader ai-agents ai-tools claude claude-code codex
10
1
100% credibility
Found May 17, 2026 at 11 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

AI Memory Reader is a native macOS and iOS application that helps you browse, read, and edit the memory and configuration files used by AI coding assistants like Claude Code, Cursor, OpenClaw, and others. The app automatically discovers your AI tool folders, displays your files in a beautiful sidebar with a table of contents, and renders markdown beautifully with syntax highlighting for code blocks. You can toggle between reading and editing modes, search across all your files, and export content to PDF. The app supports dark and light themes plus a special eye-care theme for comfortable reading, and your settings sync across devices via iCloud.

How It Works

1
🤖 You use an AI coding assistant

You work with tools like Claude Code, Cursor, or OpenClaw that keep notes about your projects.

2
📂 You want to review your AI's memory

You want to see what your AI remembers about your projects, but reading raw text files isn't fun.

3
✨ You discover AI Memory Reader

You download this app and it automatically finds all your AI assistant folders on your Mac.

4
👀 You browse beautiful documentation

Your memory files appear in a sidebar with a table of contents, rendered just like GitHub.

5
What do you want to do?
📖
Read and explore

Jump between sections, search across all files, and follow links to related documents.

✏️
Edit and update

Toggle to edit mode with syntax highlighting, line numbers, and automatic saving.

6
🔍 You find what you need instantly

Search across all your memory files at once, or use the find bar to locate text within a file.

🎉 Your AI memory is organized

You can easily read, edit, and manage all your AI assistant's memory files in one beautiful app.

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Star Growth

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AI-Generated Review

What is ai-memory-reader?

A native macOS and iOS application for browsing and editing AI agent memory files. If you use tools like Claude Code, OpenClaw, Codex, Cursor, or Gemini, you have scattered markdown files across your home directory containing your agent configurations and memory. This app auto-discovers those directories and presents them in a clean file browser with GitHub-flavored markdown rendering, syntax highlighting for code blocks, and a table of contents for navigation. You can toggle between read and edit mode, search across files, and export to PDF. The app also ships a CLI tool called `aimr` that lets you open specific files directly from the terminal, and it supports a URL scheme so AI agents can jump to specific headings in your memory files.

Why is it gaining traction?

The killer feature is auto-discovery. Instead of manually navigating to `~/.claude/` or `~/.openclaw/workspace/`, the app finds your AI sources on launch and lists them in a sidebar. The edit mode is surprisingly polished for a niche tool: line numbers, syntax highlighting for markdown, auto-save after two seconds of inactivity, and a visual "Saved" confirmation. The Eye Care theme using Solarized colors is a thoughtful touch for developers who spend hours reading documentation. File watching means the view updates automatically when your agent writes new memory entries.

Who should use this?

Developers who maintain CLAUDE.md files or similar agent configuration documents and want a better reading experience than opening them in a generic text editor. Power users of Claude Code or OpenClaw who积累 large collections of memory files and need quick navigation. Anyone who wants to share their agent configuration via PDF export. Not for Linux or Windows users, and not useful if you just want to write or improve your memory files from scratch.

Verdict

This is a genuinely useful tool for a specific niche, but the 1.0% credibility score and 10 stars reflect an extremely early-stage project. The code quality appears solid and the feature set is complete, but ad-hoc signing, lack of notarization, and minimal documentation mean you should expect friction on first install. Worth installing if you match the use case, but treat it as experimental software for now.

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