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Stars gained: From May 18, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 18, 2026 to Nov 14, 2026, each from zero0100200May 18Nov 14, 2026cyberark/FuzzyAIathina-ai/rag-cookbooks
Stars: The star count at the end of each dayStarsThe star count at the end of each day1.5K2K2.5KMay 9Nov 14, 2026cyberark/FuzzyAIathina-ai/rag-cookbooks

Facts

Fact cyberark/FuzzyAI

A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs.

athina-ai/rag-cookbooks

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Stars 1,6062,581
Net stars, last 30 days +24+11
Largest star day +9 on May 20, 2026+3 on May 11, 2026
Milestone reached in the record NoneNone
Forks 222331
Language Jupyter NotebookJupyter Notebook
License APACHE-2.0MIT
Created Dec 3, 2024Nov 27, 2024
Last push Feb 6, 2026Feb 17, 2025
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)0 of 3 checks (2 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: llm, llms, ai. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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