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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.

Stars gained: From May 9, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 9, 2026 to Nov 12, 2026, each from zero05001KMay 9Nov 12, 2026PeterH0323/Streamer-Saleschatchat-space/Langchain-Chatchat
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K40KApr 26Nov 12, 2026PeterH0323/Streamer-Saleschatchat-space/Langchain-Chatchat

Facts

Fact PeterH0323/Streamer-Sales

Streamer-Sales 销冠 —— 卖货主播 LLM 大模型🛒🎁,一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。🚀⭐内含详细的数据生成流程❗ 📦另外还集成了 LMDeploy 加速推理🚀、RAG检索增强生成 📚、TTS文字转语音🔊、数字人生成 🦸、 Agent 使用网络查询实时信息🌐、ASR 语音转文字🎙️、Vue 生态搭建前端🍍、FastAPI 搭建后端🗝️、Docker-compose 打包部署🐋

chatchat-space/Langchain-Chatchat

Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

Stars 3,80638,713
Net stars, last 30 days +28+50
Largest star day +6 on Jul 14, 2026+73 on Jul 12, 2026
Milestone reached in the record NoneNone
Forks 5766,255
Language PythonPython
License AGPL-3.0APACHE-2.0
Created Apr 5, 2024Mar 31, 2023
Last push Mar 8, 2025Nov 10, 2025
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases 1 of 3 checks (1 without data)1 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeks No data0
Weeks with commits, last 52 No data0 of 52
In the Repository Index since Nov 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: llm, chatbot, chatgpt, gpt, rag. 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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