ChatterUI is described as 'Run LLMs on device or connect to various commercial or open source APIs. ChatterUI aims to provide a mobile-friendly interface with fine-grained control over chat structuring' and is a large language model (llm) tool in the ai tools & services category. There are more than 10 alternatives to ChatterUI for a variety of platforms, including Mac, Android, iPhone, iPad and Windows apps. The best ChatterUI alternative is Lumo by Proton, which is both free and Open Source. Other great apps like ChatterUI are AnythingLLM, PocketPal, Google AI Edge Gallery and Maid (AI).
Privacy-first AI assistant utilizing zero-access encryption and open-source code, ensuring no data logging, profiling, or training on chats, providing user-controlled, encrypted conversations, with compliance under GDPR and no sharing with third parties.
Switzerland
Open-source privacy-focused chatbot platform allowing unlimited document uploads, multi-user and single-user modes, AI-powered chat with documents, vector database and LLM compatibility, customizable interface, message history, secure desktop deployment, and full user controls.
United States
A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
United States
Maid is a cross-platform Flutter app for interfacing with GGUF / llama.cpp models locally, and with Ollama and OpenAI models remotely.
Unleash the power of artificial intelligence right at your fingertips with Chatbox, the versatile client application seamlessly integrated across all major platforms – Windows, Mac, Linux, Web, and iOS.
China
Open-source Android LLM client supporting direct multi-provider access, BYOK security model, encrypted remote control, agentic workflows with tool and code execution, non-linear branching, on-device LLM inference, semantic memory, and flexible data management.
China
The simplest way to use private LLMs: Works fully offline and private when you don’t have internet. Runs models on-device optimized for Apple silicon.
United States
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.
Bulgaria
EU
Experience the power of RWKV models directly on your device. Completely offline, privacy-first, and efficient. No internet required.
China
FranceEU
Run LLMs on AMD Ryzen™ AI NPUs in minutes. Just like Ollama - but purpose-built and deeply optimized for the AMD NPUs.
