7 Open-Source Alternatives to ChatGPT You Can Run Locally

Introduction

More people are starting to move toward local AI setups, where the models run directly on their own computer instead of sending everything to a cloud service.

The reasons are pretty simple: more privacy, more control, and in many cases, lower cost. If you already have a capable GPU, you can run surprisingly strong models locally and avoid paying for multiple AI subscriptions.

The good news is that you do not have to give up the ChatGPT-style experience either. There are now plenty of open-source interfaces with polished chat, file support, tools, agents, multiple models, and other advanced features.

In this guide, we are going to look at seven open-source ChatGPT alternatives that cover different needs, from lightweight local chat and document-based workflows to AI agents, team deployments, and complete self-hosted AI workspaces.

1. Open WebUI

Open WebUI was one of the first local AI interfaces I started running through Docker, and it is still one of the best.

It is polished, easy to use, and feels surprisingly close to ChatGPT. You can chat with models, upload files, switch between models, use tools, and connect to different local or remote endpoints.

The setup is also simple. You can run Open WebUI with Docker or Python, then connect it to Ollama, llama.cpp, or any OpenAI-compatible API. In many cases, local Ollama instances are detected automatically.

What makes it stand out is that it feels like a complete local AI workspace rather than just a basic chat frontend.

2. llama.cpp WebUI

If you already use llama.cpp, its built-in WebUI is probably the lightest option on this list.

You do not need to install a separate chat application. Once you run llama-server, you get both an OpenAI-compatible API and a browser-based interface for using your model.

The WebUI includes the main features you would expect from a ChatGPT-style interface, including multiple conversations, streaming responses, reasoning output, model settings, attachments, and conversation history.