Okaeri

Okaeri is a localhost homepage that gathers and locally ranks science and tech feeds in tabs on your device.

Okaeri is a calm localhost homepage that collects papers, blogs, forums, and news feeds in science and tech. It runs locally on macOS, Linux, or Windows and fetches your chosen sources in the background. A small local embedding model runs on your machine to rank stories based on your clicks and reading history. Your data and reading history never leave your device. It includes an onboarding sequence to help you pick sources and set up tabs.

Okaeri at a glance

Best for: Software engineer, Researcher
Runs on: macOS, Windows, Linux, self-hosted, open source, CLI
Pricing: Free
Released: October 2026
Category: AI productivity tool
Website: github.com/dbvdheijden/okaeri

Key features

Local background feed fetching
On-device story ranking algorithm
Customizable reading tabs
Catalog with around 90 sources
Local embedding model support

Use it for

Reading science and tech feeds
Tracking academic papers and blogs
Managing personalized news tabs

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