FreshRSS

Self-Hosted

Self-hosted open-source RSS feed aggregator and reader

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Overview

FreshRSS is an open-source, self-hosted RSS/Atom feed reader that lets you manage and read feeds privately. It features a responsive web interface for cross-device access, offline reading, feed grouping, search, and keyboard shortcuts. Deployment is simple via Docker, Apache/Nginx servers, or shared hosting with PHP/MySQL support. Customize with themes, filters, and integrate with tools like Fever API. Keep your feed data under your control, avoiding third-party tracking common in cloud-based readers.

Self-Hosting Resources

Below is a reference structure for docker-compose.yml. ⚠️ Do NOT run blindly. Replace placeholders with official values.

docker-compose.template.yml TEMPLATE

version: '3'
services:
  freshrss:
    image: <OFFICIAL_IMAGE_NAME>:latest
    container_name: freshrss
    ports:
      - "8080:<APP_INTERNAL_PORT>"
    volumes:
      - ./data:/app/data
    restart: unless-stopped

Key Features

  • Self-hosted data privacy
  • Responsive cross-device interface
  • Easy deployment via Docker/web servers

Frequently Asked Questions

? Is FreshRSS hard to install?

FreshRSS is easy to install, especially with Docker (one-command setup). It also works on Apache/Nginx servers with PHP and MySQL/MariaDB. Beginners should opt for Docker for a quick, hassle-free deployment.

? Is it a good alternative to Feedly?

Yes—FreshRSS is a strong alternative if you prioritize privacy and self-control. It offers core features like feed grouping and search, though it lacks Feedly’s paid AI recommendations. It’s 100% free and open-source.

? Is it completely free?

Yes! FreshRSS is open-source under the AGPL license, so it’s fully free to use, modify, and self-host with no hidden costs or premium tiers.

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Tool Info

Pricing Open Source
Category Feed Readers
Platform Self-Hosted

Pros

  • No subscription fees
  • Full control over feed data
  • Customizable themes and filters

Cons

  • Requires basic server setup knowledge
  • No native mobile app (relies on web/third-party clients)
  • Limited AI-powered recommendations vs cloud readers

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