Our Story

Memvid began as a late-night experiment by two friends who were just trying to solve a very real internal problem.

Saleban Olow (CTO) was working at an HR technology company, and Mohamed Mohamed (CEO)'s family ran a daycare business. Both saw the same crisis from different angles: childcare centers across the country were struggling with staffing shortages.

To help, we built an AI agent that could screen applicants and understand the unique needs of each daycare environment. But we quickly ran into two major issues:

• 1.AI memory was completely unreliable: Our agent kept forgetting critical context, hallucinating details, and losing track of who was who — a complete non-starter in real world AI applications like the childcare industry.
• 2.The data was extremely sensitive: We needed memory that could run fully on-prem, be portable, private, offline, and essentially unhackable. Traditional RAG pipelines and vector databases were not only expensive — they were security liabilities.

So we tried something weird: One weekend we hacked together a prototype by storing embeddings inside video frames. We shared it with a few friends. They told us to open-source it.

And then everything exploded — 10M+ views, 10k GitHub stars, and thousands of developers building on top of it.

That taught us one simple truth: developers were desperate for a simple, portable memory layer that just works right out of the box.

Six months later, that internal fix for a daycare staffing problem became Memvid: the memory layer we've been dreaming about since day one, the solution that finally feels like what AI memory should've been all along.

We're not just fixing RAG. We're inventing a totally new memory format for AI. This is the beginning of true long-term AI memory.