Memory Loom – Local AI-powered semantic search for saved content

Summary: Memory Loom enables semantic search of saved web pages, clips, and PDFs using AI that runs entirely in the browser. It indexes content by meaning rather than keywords, allowing users to find relevant information without exact titles. Data remains private and local unless users opt to sync via their own Google Drive.

What it does

Memory Loom saves and indexes online content for semantic search using a WebAssembly-based embedding model running locally in Chrome. It processes queries without sending data to external servers or cloud APIs.

Who it's for

It is designed for users who save large amounts of online reading material and need to retrieve it by concept rather than exact keywords.

Why it matters

It solves the problem of ineffective keyword searches and privacy concerns by providing fast, private, and accurate retrieval of saved content without cloud dependency.