Large Language Model (LLM) Tools Page 5 of 10

Globe Explorer is an AI search engine that allows users to generate customized pages on any topic, similar to Wikipedia. It uses natural language processing and machine learning to find, organize, and present information from various sources.

NodeTool is a playground for AI that uses a visual canvas to connect different AI tools - like GPT, image creators, and video generators - into one seamless workflow. Instead of jumping between five different apps to write a script, generate an image, and turn it into a video...

Get insights from ChatGPT, Claude, Gemini, and more - all at once!.

Experience the power of AI at your fingertips with Private LLM, AI chatbot that runs on your iPhone, iPad and Mac without needing an internet connection.

Deep Infra offers cost-effective, scalable, easy-to-deploy, and production-ready machine-learning models and infrastructures for deep-learning models.

LangChain is a framework for developing applications powered by language models. We believe that the most powerful and differentiated applications will not only call out to a language model, but will also be:

Cohere is an API platform for integrating LLM functionality such as chatting and text classification into your application.

llamafile lets you distribute and run LLMs with a single file, providing an OpenAI-compatible API as well as a KoboldAI API.

Cosmicup.me offers unlimited access to various advanced AI models through a single monthly subscription, enabling chat, image generation, programming assistance, and document analysis.

ArgalAI is an offline AI chat app that allows you to chat with the latest AI models to get things done or have a bit of fun. Best of all, there are no monthly fees, and none of your chats ever leave your device.

LongCat.chat is Meituan’s next-generation large language model (LLM) service, designed for fast, multi-modal, and production-ready AI interactions. It combines cutting-edge efficiency with broad capabilities across text, image, audio, and video.

Run LLMs on AMD Ryzen™ AI NPUs in minutes. Just like Ollama - but purpose-built and deeply optimized for the AMD NPUs.

Run Llama, Gemma, Qwen, DeepSeek, and more locally on your iPhone, iPad, and Mac. Offline. Private. No login. Optimized for Apple Silicon.

🐈 nanobot is an ultra-lightweight personal AI assistant inspired by OpenClaw

LLM Hub is an open-source Android app for on-device LLM chat and image generation. It's optimized for mobile usage (CPU/GPU/NPU acceleration) and supports multiple model formats so you can run powerful models locally and privately.

The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.

The AI that stays with you.

Falcon Chat is an AI-powered conversational platform developed by the Technology Innovation Institute (TII) that lets users interact with Falcon language models directly.

An AI-powered chat interface designed for exploring advanced topics like quantum computing, programming, and emerging AI trends through interactive conversation.

ERNIE is Baidu’s official answer to ChatGPT, designed as a large language model (LLM) service. It is free to use, has no usage limits, and is also open source under the Apache License 2.0. Positioned as China’s flagship AI chatbot, ERNIE combines text-based conversational...

Browse Anything is an AI agent (computer use agent) that can browse the web, automate tasks, extract data, generate reports, and much more, all from a simple prompt. Think of it as your personal web assistant, powered by AI.

LangFlow is a GUI for LangChain , designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box..

Native, Apple Silicon–only local LLM server. Similar to Ollama, but built on Apple's MLX for maximum performance on M-series chips. SwiftUI app + SwiftNIO server with OpenAI-compatible endpoints.

Dia is a 1.6B parameter text to speech model created by Nari Labs. It was pushed to the Hub using the PytorchModelHubMixin integration.

Introducing the first generative geolocation method based on diffusion and flow matching! We learn the relationship between visual content and location by denoising random locations conditionally to images.