Unsloth Desktop

Unsloth Desktop is a free open source local AI workspace for running and training text, image, video, audio, embedding, and other models on personal hardware. It provides a desktop environment for downloading models, chatting locally, training supported models, generating media, and connecting developer agents to local inference. The product runs on Windows, macOS, and Linux and is designed for people who want a practical local model workflow without assembling every component separately. Users can download and manage models, train supported models without writing code, generate images and video, run code in a sandbox, perform private web research, and connect Claude Code, Codex, and other agents to local models. An OpenAI compatible API lets applications and SDKs communicate with local inference, while optional remote access can expose models through a secure tunnel. The main difference is the combination of local inference, training, media generation, agent connectivity, web research, and tool execution in one desktop application. The software is free and open source, but suitable hardware is still required and some models need substantial memory or compute. Training and inference capabilities vary by model and hardware, so users should check compatibility before committing to a local setup. For FutureStack, Unsloth Desktop belongs in Developer Tools because its primary buyer intent is local model development and experimentation. It is best for running models locally, training models, connecting coding agents to local inference, building private AI workflows, and experimenting without sending every workload to a hosted provider.