ClawFeed - An open-source AI news summarization tool that intelligently extracts structured summaries.

What is ClawFeed?

ClawFeed is an open-source AI news summarizing tool that aggregates information from multiple platforms such as Twitter, RSS, HackerNews, Reddit, and GitHub, generating structured summaries through AI intelligent filtering (supporting frequencies of 4 hours/day/weekly/monthly). The tool supports features such as Source Packs for sharing curated information packages, Mark deep analysis, and intelligent filtering. It can be deployed independently or run as an OpenClaw or Zylos skill. ClawFeed helps users shift from passively scrolling through information feeds to actively acquiring knowledge, eliminating information overload and enabling efficient knowledge acquisition.

ClawFeed's main functions

• Multi-source content acquisitionAutomatically crawls content from Twitter/X, RSS subscriptions, HackerNews, Reddit, GitHub Trending, and any other website, providing a one-stop platform for information streams scattered across various platforms.
• AI Intelligent SummaryIt extracts massive amounts of information into structured reports at four frequencies: 4 hours, daily, weekly, and monthly, filtering out noise and retaining the essence, significantly saving reading time.
• Source Packs SharingPackage carefully selected information sources into themed collections, share them with the community with one click or subscribe to other people's recommendations, and quickly build a high-quality information network.
• Mark & Deep DiveIt supports adding tags to content of interest, triggering AI to perform in-depth analysis, trend correlation, and background mining, moving from "knowing" to "understanding".
• Personalized filtering optimizationIt supports intelligent recommendations to follow or unfollow specific information sources based on feed quality analysis, continuously optimizing the quality of information intake.
• Multi-form outputIt supports web dashboard browsing, RSS/JSON feed subscription, and Google OAuth multi-user management to meet individual reading or team sharing needs.

How to use ClawFeed

• Method 1:ClawHub One-Click Installation (Simplest Version)Execute the installation command `clawhub install clawfeed` in the terminal, and the system will automatically complete the deployment.
• Method 2:As an OpenClaw skillOpen the terminal and navigate to the OpenClaw skills directory. Execute `cd ~/.openclaw/skills/` to change the path, then execute `git clone https://github.com/kevinho/clawfeed.git` to clone the project. OpenClaw can automatically detect and load SKILL.md. The AI agent can generate summaries and provide dashboards through scheduled tasks.
• Method 3:As a Zylos skillOpen the terminal and navigate to the Zylos skills directory. Execute `cd ~/.zylos/skills/` to change the path, then execute `git clone https://github.com/kevinho/clawfeed.git` to clone the project. Zylos will recognize it and you can use it as a skill.
• Method 4: Independent deployment (most flexible): Open a terminal and execute `git clone https://github.com/kevinho/clawfeed.git` to download the project. Then, execute `cd clawfeed` to enter the directory, and execute `npm install` to install dependencies. Next, execute `cp .env.example .env` to copy the environment variable template, then edit the `.env` file to configure environment variables. Finally, execute `npm start` to start the service, which runs at http://127.0.0.1:8767.

ClawFeed's project address

• GitHub repositoryhttps://github.com/kevinho/clawfeed

Application scenarios of ClawFeed

• Industry Trends TrackingInvestors, media professionals, and analysts need to stay abreast of market changes in real time. By using a 4-hour high-frequency summary, they can quickly capture the opinions of Twitter influencers, Hacker News technology trends, and popular GitHub projects to avoid missing key signals.
• Advanced Technology LearningDevelopers can subscribe to technical blog RSS feeds, GitHub Trending, and Reddit technical communities for daily summaries that automatically aggregate cutting-edge tools and best practices, reducing the time wasted switching between multiple platforms.
• Research Data CompilationResearchers and students can use Source Packs to package high-quality information sources and share them with their teams, while the Mark function marks important literature for AI to conduct in-depth analysis and related research.
• Content creation assistanceThis feature aggregates trending topics from multiple platforms for self-media creators and newsletter authors. AI then filters these topics to create a source of inspiration, and the selected summaries are shared with subscribers via the Feed output function.