Memvid encodes text chunks as QR codes within MP4 frames to build a portable “video memory” for AI systems. This innovative approach uses standard video containers and offers millisecond-level semantic search across large corpora with dramatically less storage than vector DBs. It's self-contained—no DB needed—and supports features like PDF indexing, chat integration, and cloud dashboards.

Features

  • Encodes text as QR in video frames
  • Millisecond semantic search without DB
  • Compact storage vs vector DBs
  • Supports importing PDFs
  • Works offline and embeddable
  • Simple Python encoder/retriever API

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow Memvid

Memvid Web Site

Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Try It Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Memvid!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Semantic Web Software, Python Semantic Search Tool

Registered

2025-07-03