LM Studio

Run open-weight LLMs locally with one command. OpenAI-compatible API.

The de-facto way to pull and run open-weight models (Llama, Qwen, Gemma, DeepSeek, gpt-oss) on your own machine — no API key, no data leaving the device. Ships native macOS/Windows/Linux apps, an OpenAI-compatible server, and official Python/JS libraries. MIT-licensed and free locally; an optional paid Ollama Cloud runs larger models.

ChatGPT alternative that runs 100% offline on your computer.

An open-source desktop assistant that runs AI models 100% offline on your own machine, bundling a local model runner so you can download and chat with open models like Llama, Gemma, and Qwen. It also supports bring-your-own keys for cloud providers when you want them, and exposes a local OpenAI-compatible server. Fully open source under Apache 2.0 with no paid tier.

All-in-one private AI app for chatting with your documents, with agents.

An all-in-one application for private, ChatGPT-style chat over your own documents, with built-in RAG, AI agents, and multi-user workspaces. Runs as a local desktop app (Mac/Windows/Linux) or self-hosted via Docker, and supports 40+ LLM providers plus local models with your own keys. Open source under MIT; Mintplex Labs also offers a paid hosted instance, making it freemium.

High-throughput, memory-efficient inference engine for LLMs.

A serving engine for large language and vision-language models, originally from UC Berkeley's Sky Computing Lab. Its PagedAttention KV-cache management and continuous batching deliver high throughput on commodity GPUs. Now a community project with 1000s of contributors and an OpenAI-compatible server.