CommaFeed delivers the Google Reader experience on your own infrastructure with modern performance characteristics. The Quarkus-based Java backend compiles to native code via GraalVM, achieving sub-second cold starts and 50MB memory footprint — a fraction of traditional JVM RSS readers. Four distinct layouts (title-only, expanded, magazine, and card) with light and dark themes adapt to any reading style, while comprehensive keyboard shortcuts cover navigation, marking, starring, and feed management without touching a mouse. The Fever-compatible API and newly added Google Reader API connect native iOS and Android apps (Reeder, Unread, FeedMe, ReadKit) directly to your instance. Per-feed push notifications through ntfy, Gotify, or Pushover alert you to new articles instantly. The visual query builder for automatic read-marking rules replaces raw expression syntax with an intuitive condition editor supporting title, content, author, and URL matching. OPML import and export enable seamless migration from any RSS service. Custom CSS and JavaScript injection let power users completely restyle the interface, while the browser extension adds one-click subscription from any website. Docker images for linux/amd64 and linux/arm64 with H2 embedded database require zero configuration to start. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Subscribe to a feed and Oksskolten fetches the complete text of every new article, cleans it, and files it as Markdown in a library you can read without leaving the app. About 500 cleanup patterns strip ads, navigation, and tracking, with no per-feed toggles or selectors to maintain. No feed on the site? Auto-discovery goes first, then RSS Bridge, then LLM-inferred CSS selectors, while FlareSolverr gets past bot protection. Every feed is checked on its own schedule, somewhere between every 15 minutes and every 4 hours. Inbox, Read Later, Liked, and Read views keep the queue tidy. Clip any URL as a standalone article. Likes and bookmarks feed an engagement score that shapes search ranking and recommendations. One click summarizes or translates an article through Anthropic, Gemini, OpenAI, Ollama, or vLLM, with Google Translate and DeepL as translation engines. Ask the chat questions about your archive, or point Claude Code or Codex at the built-in MCP server to use the same tools. Search forgives typos and covers every stored article. Login works with a password, a passkey, or GitHub. Pick from four layouts and fourteen color themes, import custom themes as JSON, rebind keyboard shortcuts, and keep reading offline as a progressive web app. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Follow every blog, newsletter, and news site you like from one distraction-free inbox with the self-hosted Fusion RSS reader, which has no AI features by design. A left sidebar lists feed groups with unread counts and jumps between Unread, Starred, and All, while the center list shows articles under filter tabs with read and star buttons on every card. Click a card and a right-hand drawer opens with the full sanitized article, a link to the original, and Previous and Next buttons. Press Cmd or Ctrl+K, or the slash key, to search feeds and articles from anywhere. Stay on the keyboard with Google Reader-style keys such as j and k to move, m to mark read, s to star, and g then u to jump to Unread; the question mark lists them all. Add a feed by entering a site address and letting auto-discovery find it, then pick its group, refresh frequency, and HTTP proxy, or suspend it to pause updates. OPML import and export bring subscriptions in or out. Starred articles are saved as snapshots that outlive their source feed. Fever API compatibility lets Reeder, Unread, and FeedMe read the same library. Sign in with a password or OIDC single sign-on, and install the interface as a PWA with Light, Dark, and System themes in eight languages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

One statically-compiled Go binary over PostgreSQL, no ORM, no framework, static assets embedded in the executable: Miniflux is the minimalist, opinionated feed reader. The opinions are the feature: page layout, fonts, and colors are tuned for reading, and everything else is treated as noise. It consumes Atom, RSS, and JSON Feed formats with OPML import/export, organizes articles with categories and bookmarks, fetches original full-text content for summary-only feeds, and provides Postgres-powered full-text search. Privacy work happens automatically: pixel trackers are stripped, tracking parameters removed from URLs, a media proxy blocks third-party tracking, referrers are never forwarded, and there is zero telemetry. Navigation is keyboard-first - j/k through items, o to open, f to star - with touch gestures on mobile. Podcast, video, and music enclosures are supported, and YouTube videos play inline. Over 25 integrations save articles onward to Wallabag, Readwise Reader, Pinboard, Linkding, Instapaper, Notion, Telegram, Matrix, Ntfy, and more, plus webhooks and a REST API with Go and Python clients; the Google Reader API endpoint supports existing mobile reader apps. Authentication spans local passwords, passkeys (WebAuthn), Google OAuth2, OpenID Connect, and reverse-proxy headers. It is Apache 2.0 licensed, translated into 20 languages, and updates feeds on an internal scheduler.

Information overload is the default state of the modern internet, and Glean exists to tame it by pulling every blog, newsletter, and news source you follow into a single, organized reading experience with an interface that prioritizes clarity over clutter. Subscribe to RSS and Atom feeds, import your existing subscriptions via OPML, and organize everything into multi-level folders with a flexible tagging system that lets you slice your reading list by topic, priority, or mood. A three-pane layout presents your feed list, article summaries, and full content side by side, with one-click actions for marking articles as read, saving them for later, bookmarking favorites, or archiving what you have already processed. Background workers fetch new articles every 15 minutes so your feeds stay current without manual refreshes. The preference learning engine (backed by Milvus vector embeddings) scores incoming articles against your reading history and surfaces a personalized Smart Feed of content you are most likely to care about, reducing the time spent scrolling past irrelevant posts. A built-in MCP server lets AI assistants like Claude Desktop search and interact with your feed library directly. The admin dashboard on a separate port provides user management, system monitoring, and configuration controls for multi-user deployments. Bookmark external URLs from any browser with the Chrome extension, or access your feeds on mobile through the Progressive Web App. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Staying on top of hundreds of RSS feeds is impossible when every reader just dumps articles in chronological order. RSSMonster takes a different approach: it evaluates, scores, and prioritizes every article so the signal rises above the noise. The three-pane reading interface automatically marks articles as read when you scroll past them, while the built-in quality scoring engine rates content by freshness, originality, trust, and attention metrics. Compose advanced search expressions using field operators like star:true, quality:>0.6, hot:true, and date filters like @today or @lastweek, then save those expressions as persistent Smart Folders for one-click access to curated views. Semantic event clustering groups related articles across sources so you see one coherent story instead of fifteen duplicates. Connect your favorite mobile client through the Fever API (supporting Reeder for iOS) or the Google Reader API (compatible with News+, FeedMe, Vienna RSS, and ReadKit). The AI chat assistant powered by the Model Context Protocol lets you ask questions about your feed content and get summarized answers. Import your existing subscriptions via OPML, switch between light and dark themes, and install the app as a Progressive Web App for offline reading. On RepoCloud, deploy RSSMonster on a dedicated VPS with root SSH access, full data ownership, and persistent storage under the MIT license.

Where Miniflux strips reading down, FreshRSS gives you knobs - the feature-rich pole of self-hosted RSS, comfortable with thousands of feeds. It's a multi-user PHP aggregator (host family and friends on one instance, with an anonymous reading mode) with the reading workflow refined over a decade: favorites, custom tags, powerful filter and search queries, three reading views, and statistics that reveal each site's publishing frequency - useful for pruning subscriptions. Two properties make it the standard choice. First, the Google Reader-compatible API (plus a Fever API) syncs with virtually every serious RSS client - Reeder, NetNewsWire, ReadYou, FeedMe, Fluent Reader - so your phone reads from your server. Second, native WebSub support means compatible sources (WordPress, Blogger, Medium, Friendica) push new articles instantly instead of waiting for polling. A 50+ extension ecosystem adds what truncated feeds omit - full-text content fetching, reading-time estimates, trending views, auto-unsubscribe for dead feeds - alongside community themes and custom CSS. OPML import/export keeps subscriptions portable, a CLI handles administration, and article sharing posts to many services. AGPL-licensed, running on SQLite, MySQL, or PostgreSQL. Feedly Pro's feature set, minus Feedly's subscription and its algorithms.

Most RSS readers hand you a pile of headlines and make you do the reading; FeedMe reads first and hands you the pile already digested. It aggregates every feed you configure into one clean, ranked stream, and for each article an LLM writes a short summary you can scan in seconds, with the full original text one tab away when a story earns a deeper look. Sources organize into categories like Tech News, Finance News, Personal Blogs, Company Blogs, Open Source, Research, and Podcasts, and a global search finds stories across all of them. The reader never sleeps on stale content: a built-in cron refreshes feeds and regenerates summaries on your schedule (every three hours by default in Docker), so the page you open in the morning already covers the night. Summaries answer to you, not a vendor: point FeedMe at any OpenAI-compatible endpoint and tune the prompt, input truncation, temperature, and token budget, with output in the languages you choose. There are no accounts, no forced logins, and no app to install; the responsive page works on phone and desktop in light or dark themes. Because the whole application is a static site, it stays fast and cheap to run, and the same build can live on GitHub Pages or Vercel if you ever want a public edition next to your private one. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.