Memvid: Encode Text into Video—A Lightweight AI Memory Revolution

Memvid: AI memory revolution—store & search millions of text chunks in video files. 10x compression, instant retrieval, offline-ready.

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Memvid revolutionizes AI memory management by encoding text data into videos, enabling lightning-fast semantic search of millions of text chunks and sub-second retrieval speeds.

Unlike traditional vector databases that consume large amounts of memory and storage, Memvid compresses knowledge bases into compact video files while maintaining instant access to any information.

Core Features

• Video as Database: Store millions of text chunks in a single MP4 file

• Semantic Search: Find relevant content using natural language queries

• Built-in Chat: Supports context-aware conversational interaction

• PDF Support: Directly import and index PDF documents

• Fast Retrieval: Sub-second search across massive datasets

• Efficient Storage: 10x compression compared to traditional databases

• Pluggable LLM: Supports OpenAI, Anthropic, or local models

• Offline First: Works fully offline after video generation

• Simple API: Start using with just 3 lines of code

Use Cases

• Digital Library: Index thousands of books into a single video file

• Educational Content: Create a searchable video memory for course materials

• News Archive: Compress years of articles into a manageable video database

• Enterprise Knowledge: Build a company-wide searchable knowledge base

• Research Papers: Rapid semantic search of scientific literature

• Personal Notes: Transform notes into a searchable AI assistant