Introducing AutoMem: Universal Memory for AI

Here’s the thing — after months building AutoJack (my personal AI assistant) and working on the Claude Automation Hub, I kept hitting the same stupid problem:

Every AI tool has amnesia.

Claude forgets what you told it yesterday. Cursor doesn’t know what you taught Claude. ChatGPT has no clue about either. You’re stuck teaching the same preferences to every tool, every session.

That’s broken. So I built something to fix it.

The Problem: AI Memory is a Walled Garden

Right now you’ve probably got multiple AI tools. Each one maintains its own little memory silo:

• Claude Desktop → memories locked in Claude
• Cursor → separate memory system
• ChatGPT → another black box
• That new AI tool you’re trying → starts from zero

The pattern: You spend way too much time re-explaining context instead of actually working.

I kept explaining the same TypeScript preferences over and over. To different AI tools. In the same week. That’s insane.

What AutoMem Actually Does

AutoMem is a universal memory layer that works with any MCP-compatible AI tool.

One deployment. Simple config. Works everywhere:

• Claude Desktop automatically knows your coding style
• Cursor remembers that auth refactor from last week
• ChatGPT understands your project architecture
• Any new MCP tool → instant context, no setup

Why this matters: Your memories follow you. Not stuck in some company’s database. Not lost when you switch tools. They’re yours — stored where you want, accessed how you want.

The Open Source Part

I could’ve kept this proprietary. Built another SaaS, charged monthly, made it a “platform.”

But that’s exactly the problem I’m trying to solve.

When you open source the core infrastructure:

• People contribute features you didn’t think of
• Bug fixes come from everywhere
• Someone adapts it for their use case
• Everyone benefits

The bottom line: Better tools make better builders.

How It Actually Works

AutoMem is pretty straightforward:

• Quick setup — takes about 5 minutes
• Cheap to run — costs a few bucks a month on Railway
• MCP compatible — works with any tool that supports MCP

Not “blazingly fast” or “game-changing” — just solid infrastructure that works.

Deploy It Right Now

Stop reading. Start deploying:

1️⃣ Click this: Deploy on Railway

2️⃣ Add your OpenAI key (for embeddings)

3️⃣ Connect to your AI tools via MCP

That’s it! 🎉

Full deployment guide with screenshots: Quick Start

Want to hack on it? GitHub repo is here

Fork it. Break it. Make it better. Ship something wild.

Because here’s what I learned after 10 years building WordPress plugins — the best infrastructure is the stuff nobody owns and everybody improves.

Now go make your AI actually remember things.

– Jack