DanielZhangyc/RLLM
LLM powered RSS reader
This tool helps busy professionals stay informed by efficiently processing daily news and articles from various online sources. It takes in a stream of articles from RSS and Atom feeds, then uses AI to generate concise summaries and key insights. Anyone who needs to quickly grasp the essence of many articles without reading each one in full, like researchers, marketers, or analysts, would find this beneficial.
No commits in the last 6 months.
Use this if you need to quickly understand the key takeaways and insights from a high volume of online articles and news feeds daily.
Not ideal if you prefer to deeply read every article in its entirety or if you don't use RSS feeds for your information gathering.
Stars
89
Forks
6
Language
Swift
License
MIT
Category
Last pushed
Jun 30, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/DanielZhangyc/RLLM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
containers/ramalama
RamaLama is an open-source developer tool that simplifies the local serving of AI models from...
av/harbor
One command brings a complete pre-wired LLM stack with hundreds of services to explore.
RunanywhereAI/runanywhere-sdks
Production ready toolkit to run AI locally
runpod-workers/worker-vllm
The RunPod worker template for serving our large language model endpoints. Powered by vLLM.
foldl/chatllm.cpp
Pure C++ implementation of several models for real-time chatting on your computer (CPU & GPU)