Lyz103/LLM-Agent-Paper-daily
Automatically Update LLM-Agent Papers Daily using Github Actions (Update Every 12th hours)
This project helps researchers and practitioners in AI stay current with the latest academic papers on Large Language Model (LLM) agents. It automatically collects new research papers from arXiv that focus on LLM agents, providing an updated list of titles, authors, publication dates, and links to PDFs. This is designed for AI researchers, machine learning engineers, and academics who need to track developments in LLM agent technology without manually searching.
Use this if you are an AI researcher or practitioner who needs a regularly updated feed of the newest academic papers specifically about LLM agents.
Not ideal if you are looking for a curated summary of papers, a discussion forum, or research in other AI domains.
Stars
19
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Lyz103/LLM-Agent-Paper-daily"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
asreview/asreview
Active learning for systematic reviews
ChaokunHong/MetaScreener
AI-powered tool for efficient abstract and PDF screening in systematic reviews.
aritraroy24/ComProScanner
A python package for extracting composition-property data from scientific articles for building databases
MikkelVembye/AIscreenR
AI screening tools in R for systematic reviewing
EvoTestOps/AISysRev
Web-application for LLM based title-abstract screening in systematic reviews