
Folo
Open-source AI-powered RSS reader from RSSNext that filters noise and surfaces knowledge that matter...

Tool details
Folo is an AI-powered RSS reader built by the open-source RSSNext team, with 36.6k GitHub stars. It uses AI to read the internet for you, filtering out noise and surfacing only the knowledge that truly matters. Aimed at privacy-conscious deep readers and knowledge workers, Folo offers a completely free, cross-platform modern reading experience.
Core capabilities
- Smart discovery: AI automatically identifies quality content sources while users keep full control over their subscriptions
- Digital twin: A personalization system learns from reading behavior and keeps refining recommendation accuracy over time
- Ambient reading: Receive curated summaries instead of full articles, and get notified only when key insights appear
- AI enhancement: Built-in translation, summarization, and smart browsing that clearly outperform traditional RSS readers
- Multi-format support: Manage articles, videos, images, audio, and other content types in one place
- MCP integration: Supports Model Context Protocol for deep integration with AI toolchains
Use cases Knowledge workers tracking industry news, researchers aggregating academic sources, content creators monitoring inspiration sources, and tech enthusiasts following development blogs. If you are tired of Feedly/Inoreader subscription fees or worried about privacy leaks, Folo was built for you.
Unique strengths While Feedly charges $8-$18/month for its AI features and Inoreader's free tier is loaded with ads, Folo makes all of its AI capabilities fully open source and free. Cross-device sync across iOS, Android, desktop, and web is extremely rare among open-source RSS readers. 229 release iterations and 147 contributors demonstrate its sustainability.
Editor's recommendation Folo is the dark horse of the 2025-2026 RSS reader space, repeatedly topping GitHub trending. Privacy Guides and the Techlore community highly praise its privacy protection, and Zhihu calls it an "information aggregation powerhouse." One caveat: as a new project (launched in 2025), advanced features such as MCP Server have a learning curve for non-technical users, though community tutorials are maturing quickly. Especially recommended for users switching from paid RSS services.
Pricing
FreeFreeAll features completely free, including premium features such as AI translation, summaries, and smart recommendations
Can be self-deployed with full control over your data
Additional notes
Open-source project (AGPL-3.0 license) with no in-app purchases, no ads, and no feature limits; supports iOS, Android, macOS, Windows, Linux, and Web.
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