Memvid – Portable, serverless AI memory layer in a single file

Summary: Memvid V2 replaces traditional RAG pipelines and vector databases by storing AI memory inside video frames within a single portable file. It offers sub-5ms retrieval, zero infrastructure, and supports hybrid semantic, keyword, and temporal search for long-term, persistent AI memory.

What it does

Memvid stores memory as self-contained “Smart Frames” containing content, embeddings, timestamps, and relationships, enabling hybrid search in one system. It works offline and is fully portable without requiring databases or preprocessing.

Who it's for

Developers and AI agents needing reliable, long-term memory across sessions without managing complex database or retrieval systems.

Why it matters

It simplifies AI memory by eliminating infrastructure and retrieval stack complexity while improving retrieval speed, accuracy, and cost efficiency.