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Show HN: Local-first AI assistant that helps you recall saved articles

https://memory-layer-landing.vercel.app/
1•Lwin-Oo-Naing•1h ago
Hi HN, I built a desktop app + extension to solve the "read it later" graveyard.

It saves articles locally, uses AI to summarize/embed them, and lets you search via natural language (semantic search) rather than just keywords.

It is currently Windows-only and in early beta. I'd love your feedback on the utility and the search quality.

Tech details in the comments.

Comments

Lwin-Oo-Naing•1h ago
I built this because I had 1,000+ bookmarks in Chrome and Notion but could never find the specific article I needed when I actually needed it. Folders and tags just added too much friction.

The Problem: We save articles with good intentions, but keyword search fails when we don't remember the exact title, and "Read Later" apps just become another inbox we ignore.

The Solution: Memory Layer is a "set and forget" system. You click the extension, and the desktop app handles the rest.

How it works (The Tech):

Capture: Browser extension scrapes the readable content.

Processing: The Desktop app receives the content. It hits OpenAI's API to generate a summary and vector embeddings.

Storage: Data is stored in a local SQLite database on your machine.

Retrieval: When you search, we convert your query to a vector and perform a cosine similarity search against your local database to find the semantic match.

Privacy Note: While we use OpenAI for the processing (summarization/embedding), the actual database of your articles resides locally on your machine. We do not have a server database storing your articles.

Current Status:

Windows 10/11 only (Mac/Linux coming if there is interest).

Free during this early beta.

I am looking for brutally honest feedback. Does the semantic search actually find what you're looking for? Is the desktop app too heavy? Let me know.

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