GitHub - Olow304/memvid: Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
Jun 01, 2025 - github.com
Memvid is an innovative solution for AI memory management that encodes text data into video files, enabling rapid semantic search across large datasets with sub-second retrieval times. Unlike traditional vector databases, Memvid offers significant storage efficiency by compressing data into compact video files, eliminating the need for extensive RAM and storage. Key features include video-as-database storage, semantic search, built-in chat, PDF support, fast retrieval, efficient storage, pluggable LLMs, offline functionality, and a simple API. Memvid is suitable for various use cases, such as digital libraries, educational content, news archives, corporate knowledge bases, research papers, and personal notes.
The lightweight architecture of Memvid requires minimal dependencies, runs efficiently on CPUs without GPU requirements, and is highly portable. It offers a straightforward installation process, with support for PDF integration and a recommended setup using a virtual environment. Memvid provides a range of functionalities, including building memory from documents, advanced search and retrieval, and interactive chat interfaces. The platform is designed for ease of use and scalability, with features like custom embeddings, video optimization, and distributed processing. Memvid is open-source, licensed under MIT, and welcomes contributions from the community.
Key takeaways:
Memvid uses video files to store and manage AI memory, enabling fast semantic search and efficient storage.
It offers features like built-in chat, PDF support, and offline functionality, making it versatile for various use cases.
The solution is lightweight, requiring minimal dependencies and no GPU, and operates offline once videos are generated.
Memvid provides a simple API for easy integration and supports custom embeddings and distributed processing for advanced configurations.
