2026.09.17
SuYxh/ai-news-aggregator: Multi-source tracking for AI news
ai-news-aggregator combines AI and technology feeds with RSS import, keyword filtering, bilingual titles, a Web interface, and JSON output. Verify source availability, licensing, and automation dependencies before adoption.
What it is for
SuYxh/ai-news-aggregator is an open-source project for tracking AI and technology news. It brings professional platforms, RSS subscriptions, and WeChat-related sources into a shared data flow, then filters AI-related items through keyword matching. It can suit readers who want to reduce manual browsing, teams building an internal news dashboard, or developers who need structured data for further processing.
The repository metadata describes automatic aggregation from more than 80 AI and technology sources. The README gives a more detailed breakdown: 14 professional platforms, more than 70 selected RSS subscriptions, and 52 WeChat public accounts. These figures use different scopes and should not be treated as one independently verified total.
Image source: ai-news-aggregator. Published by the project; the interface may vary by version.
Documented capabilities
The Web application uses React and TypeScript. Listed features include filtering by platform or subscription source, title keyword search, light and dark themes, local article favorites, reading history, JSON export, and 24-hour or 7-day time ranges. English titles can be translated into Chinese, with original, translated, and bilingual display modes described in the README.
The fetcher produces structured JSON files for recent 24-hour and 7-day items, historical archives, source status, OPML feeds, and translation caching. This makes the project useful not only as a reading interface but also as a base for custom pages, scripts, or data analysis. The README also says users can edit the OPML file to add custom RSS feeds.
For automation, the project configures GitHub Actions to fetch data, build the Web application, and deploy it to GitHub Pages. The documentation describes a default two-hour update schedule. Local use is also documented: Node.js 18 or newer is required, and pnpm or npm is listed as a package-manager option.
Image source: ai-news-aggregator. Published by the project; the interface may vary by version.
Who may benefit
The project may fit AI researchers, product managers, developers, media editors, and technology teams that want a consolidated view of industry updates. It may also help users who want to combine RSS and custom sources in a personal information flow. Casual readers can use the published preview, while developers may value the structured output and TypeScript code more.
Limits and deployment considerations
Licensing should be checked before adoption. GitHub repository metadata reports a null license field, while the README states MIT. Organizations should not rely on only one of these entries when evaluating internal deployment, redistribution, or derivative work.
Aggregation quality depends on external sources, RSS accessibility, fetcher implementations, and keyword rules. The supplied documentation describes source scale and features, but it does not confirm that every listed source is currently available, nor does it provide reliability, coverage, or translation-accuracy measurements. Important research or editorial workflows should therefore retain a step for checking original sources.
Automation also depends on GitHub Actions, GitHub Pages, and network access to external feeds. A self-hosted deployment would need decisions about Node.js and dependency installation, scheduling, persistent data storage, retries, and monitoring. The supplied materials do not provide one standardized deployment plan. They also do not confirm minimum CPU, memory, or storage requirements, so performance and security conclusions should not be inferred.
Sources
Sources checked: 2026-09-17