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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero0100200Apr 26Nov 3, 2026SciSharp/BotSharpSciSharp/LLamaSharpTelegramBots/Telegram.Botlofcz/LLMTornado
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K4KApr 25Nov 3, 2026SciSharp/BotSharpSciSharp/LLamaSharpTelegramBots/Telegram.Botlofcz/LLMTornado

Facts

FactSciSharp/BotSharp

AI Multi-Agent Framework in .NET

SciSharp/LLamaSharp

A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.

TelegramBots/Telegram.Bot

.NET Client for Telegram Bot API

lofcz/LLMTornado

The .NET library to build AI agents with 30+ built-in connectors.

Stars3,1163,8253,650650
Net stars, last 30 days+11+22+8+8
Largest star day+3 on May 24, 2026+6 on Aug 2, 2026+2 on Apr 27, 2026+3 on May 16, 2026
Milestone reached in the recordNoneNoneNoneNone
Forks657517710122
LanguageC#C#C#C#
LicenseAPACHE-2.0MITMITMIT
CreatedDec 17, 2017May 9, 2023Jun 28, 2015Oct 8, 2023
Last pushNov 3, 2026Nov 1, 2026Oct 9, 2026Nov 3, 2026
ArchivedNoNoNoNo
Health facts: Maintenance2 of 4 checks (2 without data)2 of 4 checks (2 without data)2 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (1 without data)2 of 3 checks (1 without data)1 of 3 checks (1 without data)2 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo dataNo dataNo data
Weeks with commits, last 52No dataNo dataNo dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026Oct 22, 2026Oct 22, 2026

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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