Large Language Model (LLM) Tools Page 4 of 10

AI00 RWKV Server is an inference API server for the RWKV language model based upon the web-rwkv inference engine.

Nexa Studio: Offline, Private AI with Unlimited Use.

Learn how to add AI with local models and APIs to Windows apps. Discover AI scenarios and models such as Phi, Mistral, Stable Diffusion, Whisper, and many more to delight your users. The AI Dev Gallery is an open-source app designed to help Windows developers integrate AI...

Multimodal Offline LLM Chat App with MNN.

🌟 An AI desktop pet with long-term memory, expressive character sprites, computer control, and voice features—perfect for Galgame-style characters 🌟

Digital Life Project 2 (DLP3D) is an open-source real-time framework that brings Large Language Models (LLMs) to life through expressive 3D avatars. Users converse naturally by voice, while characters respond on demand with unified audio, whole-body animation, and physics...

Experience the power of RWKV models directly on your device. Completely offline, privacy-first, and efficient. No internet required.

This application provides a full suite of generative AI features for chat, code assistance, document search, image analysis, image and video generation. All features run offline and are powered by your PC’s Intel® Core™ Ultra with built-in Intel Arc GPU or Intel Arc™ dGPU...

This project aims to eliminate the barriers of using large language models by automating everything for you. All you need is a lightweight executable program of just a few megabytes. Additionally, this project provides an interface compatible with the OpenAI API, which means...

A modern web interface for managing and interacting with vLLM servers (www.github.com/vllm-project/vllm). Supports both GPU and CPU modes, with special optimizations for macOS Apple Silicon and enterprise deployment on OpenShift/Kubernetes.

Copilot sidebar ported from Microsoft Edge to Chrome.

Inferencer lets you run, host and deeply control the latest SOTA AI models (OSS, DeepSeek, Qwen, Kimi, GLM and more) from your own computer.

Chat with generative language models locally on your computer with zero setup. LocalChat is a simple, easy to set up local AI chat built on top of llama.cpp. It requires no technical knowledge and enables users to experience ChatGPT-like behavior on their own machines — fully...

A distraction-free LLM chat web app optimized for Kindle. The perfect companion for your book. Powered by Mixtral from Mistral AI. Mainly tested on Kindle Paperwhites.

A versatile AI-powered application designed to meet the diverse needs of users seeking intelligent interaction and functionality. This app offers a free AI chat feature, enabling users to engage in conversations with advanced AI models, providing insights, answers, and...

Leverage a no-code platform for AI voice assistants that enables calls and appointment scheduling, enhancing engagement and personalization for all businesses.

Cross-platform framework for deploying LLM/VLM/TTS models locally on smartphones.

An end-to-end MLLM that accept any-form referring and ground anything in response.

A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

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.

Chat with a bunch of AIs at once.

Camel Chat is a feature-rich Flutter application designed to provide a seamless interface for communicating with large language models (LLMs) served via an Ollama server. It offers a user-friendly way to interact with open-source AI models on your own hardware.

User-friendly, privacy-first & highly customizable native ChatGPT app for macOS. Support OpenAI, Azure OpenAI, Anthropic Claude & OpenRouter. Local LLMs via Ollama.

AI Sparks Studio is a user interface that allows you to efficiently utilize your own API access to state-of-the-art AI models like ChatGPT, GPT-4, Whisper or ElevenLabs.

Embeddings databases are a union of vector indexes (sparse and dense), graph networks and relational databases. This enables vector search with SQL, topic modeling, retrieval augmented generation and more.