Find Cloud AI Alternatives for Your Own Hardware

You use a cloud AI service for a particular job: answering questions, helping with code, making images, or working with audio. Now you want to do that job on your own computer or a server you control.

That is what we're building localhosted around. We look for local and self-hosted software that gives you alternatives to cloud services, and bring those projects into a directory you can explore by task and platform. The useful question is whether a tool can do the work you need on the hardware you actually have.

Start with the job you want to bring home

Pick one thing you currently use a cloud service for. “Chat with my documents on my laptop” is a more useful starting point than “replace every AI subscription.”

Use categories to browse that kind of work, or open the site search and describe what you're looking for. If you're starting with a familiar product, collections can help you find a group of related options. Our ChatGPT alternatives collection is one place to begin.

Read the descriptions with your own workflow in mind. For a chat app, you might need document uploads. For a coding assistant, the editor you use may matter. Write down the feature you would miss most if you stopped using your current service.

Bring your hardware into the search

Start with platforms, or use the platform filter in the directory, to narrow the list to your operating system or environment.

Then check the project's current requirements against your machine. Have these details ready:

• Your operating system and processor.
• Installed RAM.
• Your graphics hardware and its available memory, if applicable.
• Free storage for the application and anything it needs to download.

localhosted's platform filters are a starting point. They don't measure your computer's resources or certify that a particular model will run well. Use the project's documentation to check the combination of software, model and hardware you intend to use.

You can do this before buying anything. Start with the machine you own, make a shortlist, and find out what each candidate asks of it.

Check where the work actually runs

On a tool page, follow the website or repository link and look at the supported ways to run it. If your aim is to move away from a cloud service, check whether your chosen setup performs the work locally, connects to a server you control, or still depends on an external API.

Look for any separate service, account or model download the setup requires. If offline use matters to you, check that explicitly in the documentation. A platform label alone doesn't answer those questions.

This is also where you can decide how much setup you want to take on. Read the installation instructions before choosing between candidates; the path from download to first result should fit the time you're willing to spend.

Ask your agent to help evaluate the fit

Each published tool page has an “Ask your agent” section. Choose “Is it for me?” and copy the prompt into your assistant. Add what you're trying to replace and what you know about your hardware.

For example:

I use a cloud assistant to ask questions about my documents. I want to do this on my own computer. Help me check whether this tool supports that workflow, what hardware it needs, and whether the setup can work without an external AI API. Ask me for any machine details you need.

The prompt gives your agent a starting point for researching that specific project. You can read more about it in our guide to a tool page.

Keep a shortlist and try one task

Sign in and use Save on the tool pages you want to revisit. Compare their requirements and setup instructions, then choose one to try with a small example of your real work.

The first step can be modest: one cloud workflow moved onto hardware you already own. Browse the directory to find a candidate.