Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
#安卓#RikkaHub is a Android APP that supports for multiple LLM providers.
Kangaroo is a AI-powered SQL client and admin tool for popular databases(MariaDB / MySQL / Oracle / PostgreSQL / Redis / SQLite / SQLServer / ...) on Windows / MacOS / Linux, support table design, que...
Minimalistic UI for Ollama LMs - This powerful react interface for LLMs drastically improves the chatbot experience and works offline.
#大语言模型#LLMX; Easiest 3rd party Local LLM UI for the web!
#大语言模型#A single-file tkinter-based Ollama GUI project with no external dependencies.
A UI client for Ollama written in Compose Multiplatform
#自然语言处理#Odin Runes, a java-based GPT client, facilitates interaction with your preferred GPT model right through your favorite text editor. There is more: It also facilitates prompt-engineering by extracting ...
比简单更简单，通过 Ollama 不需要显卡轻松在你的电脑上运行 LLM。
Simple html ollama chatbot that is easy to install. Simply copy the html file on your computer and run it.
A modern web interface for [Ollama](https://ollama.ai/), with DeepSeek in next version.
#大语言模型#BeautifyOllama is an open-source web interface that enhances your local Ollama AI model interactions with a beautiful, modern design. Built with cutting-edge web technologies, it provides a seamless c...
LocalAPI.AI is a local AI management tool for Ollama, offering Web UI management and compatibility with vLLM, LM Studio, llama.cpp, Mozilla-Llamafile, Jan Al, Cortex API, Local-LLM, LiteLLM, GPT4All, ...
#大语言模型#Ollama with Let's Encrypt Using Docker Compose
#大语言模型#PuPu is a lightweight tool that makes it easy to run AI models on your own device. Designed for smooth performance and ease of use, PuPu is perfect for anyone who wants quick access to AI without tech...
Full featured demo application for OllamaSharp
#大语言模型#HTML UI for Ollama. Minimal & responsive UI: mobile & desktop. Cross-browser support. Simple installation: host on your own server, run in your browser.
