Before ChatGPT, There Was Ditto

But only if you could coax it to run on Omar’s laptop.

Back then, even I (Peyton, proud lifelong nerd) would sweat through command-line rituals just to show a friend how Ditto could remember their last conversation or turn off the living-room lights with a single prompt.

That was five years, dozens of prototypes, and one patent application ago.

Our North Star

Our North Star has always been the same: lower the barriers between people and powerful technology.

We started in music, learned to tame neural nets before they had a catchy name, and finally realized our true path—building a personal AI that actually remembers you.

The Journey Before the Boom

While others were focused on general AI, we were deep in the trenches of what would later become the foundation of modern AI systems:

• 2020: Omar built LLMs from scratch with tiny training sets—generating Donald Trump tweets, Rick & Morty scripts, and Yelp reviews when tokens were still characters, not words
• Pre-ChatGPT: We knew about multimodal LLMs before they existed, understanding how to concat and add modalities together through neural layers
• The Patent: Our Multimodal Neural Network (MMNN) patent application outlined AI systems that could translate between senses—like a universal language translator for human experience

What We Learned in the Deep Learning Years

Omar was studying transformers, GAN image generators, BERT embeddings, and RESNET architectures when ChatGPT didn’t exist yet. We understood the potential, but we didn’t know how much data it would take to make it truly work.

The real breakthrough came when we realized that memory wasn’t just about storing conversations—it was about building relationships.

Fast-Forward to Today

• ✅ A product you can try, for free, right now
• ✅ A memory system that grows with you—journals, goals, late-night rants, all connected
• ✅ Instant Google sign-in (no more terminal gymnastics)

And we’re still obsessed with removing friction. Passion isn’t meant to be rushed, but it is meant to be shared—so here we are, shipping Ditto to everyone.

The Ditto Difference

What makes Ditto special isn’t just that it remembers—it’s how it remembers. We’ve built:

• Recursive Memory Systems: Changed the Ditto experience significantly by layering memories and connecting related concepts
• Agentic Memory Search: We invented our own approach to finding relevant memories when you need them
• Embedding Vector Addition: Combining memories in meaningful ways to understand context and relationships

We Need You

Now we need you.

What do you wish an AI companion could do better? Which rough edges snag you? What makes you smile when Ditto gets it right?

Your feedback goes straight to our small, stubborn team—no bots, no auto-responders. We read every word and use your feedback to shape the next build.

Ready to Experience the Future?

Try Ditto for free and see what it’s like to have an AI that truly understands you.

Thanks for giving Ditto a spin. We can’t wait to hear what you think.

With gratitude,
Peyton & the Ditto Team

P.S. If you run into anything weird—or wonderful—let us know. That’s how we keep lowering those barriers.

Want to share your feedback? Reach out to us at peyton@heyditto.ai or join our community discussions.