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dsh-rss-daily

Web Tools Updated 2026.08.26

Run the following command in DeepSeek Harness:

dsh plugin install shangjian2023/dsh-rss-daily

Paste the following prompt into your AI chat to install this plugin:

In DeepSeek Harness (dsh), please run the command dsh plugin install shangjian2023/dsh-rss-daily to install this plugin. Source: https://github.com/shangjian2023/dsh-rss-daily

About this plugin

In an era of information overload, manually sifting through thousands of RSS feeds is both time-consuming and inefficient. dsh-rss-daily solves this by acting as your personal editor-in-chief, delivering a daily digest that cuts through the noise. Instead of drowning in raw links, you get a curated list of high-quality news where every item is scored, deduplicated, and summarized by an LLM.

Its core strength lies in intelligent curation and seamless integration. The plugin processes feeds using advanced algorithms like Jaccard similarity and multi-source validation to ensure factual accuracy. Crucially, it uses pure client-side rendering, so the news appears directly in your chat interface as a Markdown message, consuming zero context tokens. Whether you prefer Telegram, Server酱, or WeChat Work, the delivery is instant and non-intrusive.

This tool is designed for developers, tech enthusiasts, and busy professionals who demand efficiency. It leverages your existing LLM setup for zero additional API costs and features a production-grade pipeline with robust error handling. With an intuitive web dashboard to manage sources and delivery targets, dsh-rss-daily transforms how you stay informed without the clutter of traditional aggregators.

Screenshots

Use Cases

  • Automatically get curated news every morning at 8 AM
  • View a beautifully formatted Markdown report directly in the chat
  • Configure delivery targets once and sync across multiple channels

Best For

  • Developers seeking efficient tech news access
  • Tech enthusiasts following global and finance updates
  • Professionals looking to save time on news filtering