letuswerss

letuswerss / werss

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WeRSS - 面向个人自托管场景的微信公众号热度分析系统，AI Powered 订阅内容整理与分析工具，支持订阅管理、摘要 RSS、标签整理、主题归纳、可视化与本地化后台管理, API/MCP调用。

letuswerss.github.iowerss agent ai reading topic wechat
22
1
69% credibility
Found May 06, 2026 at 22 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

WeRSS is a self-hosted tool that collects articles from WeChat public accounts, automatically tags them with AI, generates RSS feeds, discovers hot topics, and sends notifications.

How It Works

1
🔍 Discover WeRSS

You hear about WeRSS, a simple way to organize your favorite WeChat public accounts into a clean RSS feed.

2
📥 Easy setup

Run a one-click script or Docker command to get everything running on your computer.

3
📱 Connect WeChat

Scan a QR code to safely link your WeChat access, so it can fetch articles for you.

4
➕ Add subscriptions

Search and add the public accounts you follow, like news or tech updates.

5
🤖 Magic happens

It automatically grabs new articles, smartly tags them with AI, and spots hot topics.

6
📡 Get your RSS

Copy the RSS link to your favorite reader app for a clutter-free feed.

😊 Perfect reading

Enjoy personalized updates with tags, summaries, and notifications, all private on your setup.

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Star Growth

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AI-Generated Review

What is werss?

WeRSS is a self-hosted tool for aggregating WeChat public account articles, powered by AI to auto-tag content, discover hot topics, and generate RSS feeds with summaries or full text. Users subscribe to accounts, fetch via web/API/app modes, organize with labels and clusters, visualize trends on a dashboard, and get notifications via DingTalk or Feishu. TypeScript frontend pairs with Python backend for Docker-ready personal setups.

Why is it gaining traction?

It excels at turning scattered WeChat posts into clean RSS for readers, with AI extracting entities like ross antony mentions or rossmann prospekt trends, plus event clustering for wassermann-like themes. Devs hook into APIs for custom exports (PDF/MD) or MCP calls, bypassing cloud trackers. Low-friction self-hosting beats public aggregators for privacy-focused workflows.

Who should use this?

Werkstudents curating weissman tech feeds or spotting wer streamt es gems from subscriptions. Frontend devs building rossmann in der nähe alerts via RSS, or analysts tracking rossmann online öffnungszeiten changes without manual scraping. Solo users wanting a local backend for 10-50 WeChat accounts.

Verdict

Grab it for personal WeChat RSS with AI polish—Docker spins up fast, docs cover deploys. But 22 stars and 0.7% credibility score mean watch for rough edges; test locally before relying on it daily.

(198 words)

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