Home Projects Folo
Folo
TypeScript

Folo

🧡 Folo is the AI RSS Reader

by RSSNext · GitHub
Top 5% most starred in the catalogue
Stars
Forks
License
Created
Last commit
Category
Language
aireaderrssAGPL-3.0TypeScript
View on GitHub
In plain words

Organize and read content from RSS feeds in a distraction-free timeline, making it easier to stay updated.

From the README

Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
Folo — GitHub preview card
📈 Star history
38.7k38.6k
2026-06-272026-08-31
📈 Track Folo

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

🧡 Folo is the AI RSS Reader

Folo has 38.7k stars on GitHub. It has been forked 2.1k times. Folo is written mainly in TypeScript. It has been in active development since 2024. Folo is available under the AGPL-3.0 license. Its main topics are ai, reader, rss, rss-reader.

Frequently asked questions

What is Folo?

🧡 Folo is the AI RSS Reader

Is Folo open source?

Folo is an open-source project. It is released under the AGPL-3.0 license.

Is Folo free?

Yes. Folo is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.

What license does Folo use?

Folo is available under the AGPL-3.0 license.

What language is Folo written in?

Folo is written mainly in TypeScript.

🏅 Maintainer of this project?
olud.ai badge — Folo

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=rssnext-folo)](https://olud.ai/project/rssnext-folo.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.