Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨

A simple NPM interface for seamlessly interacting with 36 Large Language Model (LLM) providers, including OpenAI, Anthropic, Google Gemini, Cohere, Hugging Face Inference, NVIDIA AI, Mistral AI, AI21 Studio, LLaMA.CPP, and Ollama, and hundreds of models.

Lightweight and Flexible Library for Creating Agents and Multi-Agent Conversations 🤖

This is a list of free LLM provider resources accessible via API. Including some cn platform 免费llm api平台（包括cn平台）

Revise any part of an LLM conversation- system, user, or AI messages, at any point in time.

Cohere Coral Hackathon Project (Cohere Maker Spotlight): Co:Sona is a chatbot that impersonates any film character, figure, or model, providing a unique, engaging, and personalized chat experience.

A framework-agnostic UI kit of production-ready components for building AI and LLM chat interfaces.

A list of LLM clients that can be used to interact with a proprietary or open source models using UI or CLI

Adaption of KoboldCPP with the goal to add missing core features

A modern, local-first AI chat interface built with Tauri, React, and Rust. Secure, private, and supports multiple LLM providers. 🚀

Graph-Based Editor for LLM Workflows

Web Client For Ollama - Llama LLM

A client for a LLM like chatgpt but free and open source

WoolyChat - open-source AI chat app for locally hosted Ollama models. Written in Flask/JavaScript.

🖥️ Self-host an AI interface that respects your privacy, offering companionship without tracking or cloud reliance—just you and your AI on your terms.

A comprehensive Next.js application for running and exploring .gguf open-source LLM models locally.

A complete, menu-driven AI model interface for Windows that simplifies running local GGUF language models with llama.cpp. This tool automatically manages dependencies, provides multiple interaction modes, and prioritizes user privacy through fully offline operation.

Made for a school project primarily as excuse to try out RippleJS