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Guide · Chat assistants

How to use a private AI chatbot that protects your data

Set up a private AI chatbot: choose between local apps and privacy-focused services, test what leaves your device and keep sensitive chats safe. Six tools compared.

By the end of this guide you will be chatting with a private AI chatbot set up so you know where your prompts go, which data stays on your own machine, and what you should still keep out of any chat. The job is done by either a local AI app that runs a model on your computer or a privacy-focused online service, and the first step is deciding which you need.

A private AI chatbot is not one thing: some keep everything on your device, some anonymise or encrypt what you send, and some hide personal details before a question reaches a cloud model. This guide explains the differences and compares six options from our Chat assistants category.

Key takeaways

  • Decide your threat first: documents that must never leave your computer point to a local app, while general privacy from a hosted service may be enough for everyday questions.
  • Local apps keep data on your device, but model quality and speed depend on your hardware, and connecting a cloud model sends your prompts out.
  • Free options exist: Msty Studio has a Free plan, GPT4All is open source and free, and Venice.ai has a Free plan capped at 10 text prompts a day.
  • Privacy claims come from vendors. Read the data terms, and keep legal, medical and financial secrets out of any tool you have not checked.

What you need before you start

  • A clear list of what is sensitive. Client documents, health information, passwords, financial records and unpublished work.
  • A computer for local apps. Local models depend on your hardware: Elephas runs on Apple Silicon Macs, and the others support Windows, macOS or Linux as listed below.
  • Disk space and patience. Models are large downloads, and bigger ones need more memory.
  • A plan or trial. Venice.ai has a Free plan with daily limits, and Elephas has a 7-day trial that needs no card.
  • Time. A first setup takes under an hour, mostly downloading.
  • Difficulty. Easy for desktop apps, moderate if you self-host.
  • Care. If you handle other people's data, such as clients or patients, check your obligations before using any AI tool.

Which kind of AI tool fits this job

Pick by where the processing happens.

Local apps that run models on your own computer. GPT4All downloads open source models and runs them on your machine, Nomic says with no GPU or internet connection required, and can answer over your own documents. LM Studio downloads and runs open language models locally on macOS, Windows and Linux, and says data stays on your device when you use them locally. Msty is a desktop and web workspace that connects local inference engines such as Ollama with hosted providers, and says data stays on your device.

Document chat with privacy controls. AnythingLLM is an open-source app for chatting with your own documents. It runs as a free desktop app or a self-hosted container and works with local models so documents can stay on your own hardware. Elephas indexes documents on your own computer, quotes the passage each answer came from, and hides personal details such as names and emails before a question goes to a cloud model, restoring them in the reply.

A privacy-focused hosted service. Venice.ai gives access to many models in one place and describes four privacy tiers, from anonymised access to end-to-end encrypted chats. It suits you if you want many models without running anything yourself.

Step 1: Decide what has to stay private

Your answer decides which tool category you need.

  1. List the kinds of information you will put into the chatbot.
  2. Mark each as public, internal or must-never-leave-my-device.
  3. Check any rules that apply, such as client confidentiality or workplace policy.
  4. Decide if good-enough privacy from a hosted service is acceptable for the lower-risk items.

Check it worked by having a short list of what can go to a hosted service and what cannot.

Step 2: Choose between local and hosted

Match the tool to your hardware and your risk.

  1. If the most sensitive material must stay on your device, choose a local app: GPT4All, LM Studio, Msty or AnythingLLM.
  2. If you want answers over your own files with citations, look at Elephas or AnythingLLM.
  3. If you want many models without installing anything, look at Venice.ai and read its privacy tiers.
  4. Check your computer against the app's listed platforms before you download.

Check it worked by confirming your computer is supported by the tool you picked.

Step 3: Install the app or create the account

Get the basics running before you add your own data.

  1. Download the app from the vendor's site, or create an account for a hosted service.
  2. For a local app, download a model through the app. GPT4All and LM Studio both download open models, and Msty has a model hub for local and online models.
  3. Start with a smaller model if your computer is modest, because speed and quality depend on your hardware.
  4. Run a first chat with a harmless question to confirm everything works.

Check it worked by getting a sensible reply from a local model with your internet connection turned off, where the tool supports offline use.

Step 4: Set the privacy options

Settings decide whether the tool is really private.

  1. In a local app, keep the model local. Connecting a hosted provider sends your prompts to that provider, which defeats the point for sensitive material.
  2. In Elephas, choose whether answers come from the included Elephas AI, your own API key or a local model, and know that the first two involve a cloud model.
  3. In Venice.ai, look at the privacy tiers and pick the one that matches the sensitivity of the chat.
  4. Turn off any sync or sharing you do not need. Msty notes that its data does not sync between devices.

Check it worked by reading the tool's setting for where each model runs, and being able to say it out loud.

Step 5: Add your documents carefully

Document chat is where private data is most at risk, so be deliberate.

  1. Start with one non-sensitive document to test the flow.
  2. Add documents to a knowledge collection. AnythingLLM chats with your own files, Msty has Knowledge Stacks, and Elephas collects files into Brains.
  3. Ask questions whose answers you already know, and check the cited passages.
  4. Only then add sensitive files, and only to a setup that stays local.

Check it worked by seeing answers that point to the right passage in your own file.

Step 6: Verify what actually leaves your machine

Do not rely on a settings page alone.

  1. Find out whether the model is local or hosted for every chat.
  2. If you are technical, watch your network activity while you ask a question to see whether traffic leaves your machine.
  3. Read the vendor's data terms for any cloud component, including how long data is kept.
  4. Keep a note of your findings so your team or family follows the same rules.

Check it worked by being able to say, for each tool you use, where a prompt is processed and whether it is stored.

Step 7: Build safe habits

Tools help, but habits protect you.

  1. Keep passwords, bank details and identifiers out of prompts unless the setup is fully local.
  2. Re-check your settings after updates, since new features may add cloud options.
  3. Keep software up to date and back up the documents you index.
  4. Use a person, not a chatbot, for legal, medical and financial decisions, and double-check AI output before relying on it.

Check it worked by reviewing a week of chats and finding nothing you would regret sharing.

Tools for this job compared

Tool Good fit for Pricing Stated limits
Venice.ai Many models on the web and API, with several privacy tiers Freemium, paid from $18/mo (checked 24 Oct 2026) Free plan capped at 10 text prompts and 15 image prompts a day; video, music and API use draw on credits
Msty Local and online models in one desktop and web workspace Freemium, paid from $149/yr (checked 24 Oct 2026) Data does not sync between devices; Studio Web is an Aurum feature; several Studio features are limited on Free
AnythingLLM Chatting with your own documents, self-hosted or on desktop Open source, paid from $50/mo (checked 24 Oct 2026) Cloud plans need your own LLM API key; desktop Magic features have daily free limits unless you buy Pro
GPT4All Offline local chat on macOS, Windows and Ubuntu Open source Model quality and speed depend on your hardware; local models are generally smaller than the largest cloud models
LM Studio Running open models locally on macOS, Windows and Linux Freemium, paid from $20/mo (checked 24 Oct 2026) Local speed and model size depend on your hardware; cloud models need an account with credits
Elephas Cited answers over your documents on Apple Silicon Macs Free trial, paid from $15/mo (checked 24 Oct 2026) No free plan beyond the 7-day trial; files capped at 200 MB each; no iPhone or iPad app

Prices and plan limits change, so confirm the current terms on each vendor's site before you subscribe.

Common mistakes to avoid

  • Assuming "private" means "local". Some tools hide or encrypt data but still use a hosted model. Check where each model runs, and read the vendor's terms.
  • Connecting a cloud model to a local app. It sends your prompts out and removes the benefit. Keep sensitive chats on local models only.
  • Choosing a model your hardware cannot handle. The app crawls or fails, and people give up or switch to a public tool. Start small and move up.
  • Trusting answers over private documents blindly. Local models can be less capable than large cloud ones and may misread a file. Check the cited passage before you act on an answer.
  • Forgetting backups and updates. Local data lives on one device and may not sync, as Msty notes. Back up what matters and keep the software current.

How we put this together

This is an evidence-based guide built from each tool's listing in our directory, which is compiled from the vendor's own site and pricing page. It is not a review based on using the tools. We don't rank tools, and nobody paid to be included. Some outbound links may be affiliate links; see our disclosure.

Frequently asked questions

Is there a free private AI chatbot?

Yes. GPT4All is open source and free, and AnythingLLM can be used as a free desktop app or self-hosted with Docker. LM Studio's Free plan covers local models, Msty Studio Desktop has a Free plan, and Venice.ai has a Free plan with daily limits.

Can I run an AI chatbot completely offline?

Yes, with a local app. GPT4All says it works with no GPU or internet connection required, and LM Studio runs models on your own hardware. Offline chats depend on your computer, and you must download a model first.

Is a local model as good as a cloud model?

Not always. GPT4All's listing notes that local models are generally smaller than the largest cloud models, and speed depends on your hardware. For routine tasks they may be enough. For the hardest tasks you may need a hosted model, so decide what data you can send.

Which tool is good for private document chat?

AnythingLLM, Msty and Elephas all answer questions over your own files. Elephas indexes on your computer and hides personal details before a question goes to a cloud model. AnythingLLM and Msty can use local models, so documents can stay on your hardware.

How long does it take to set up?

No vendor publishes a standard setup time. Most of it is downloading a model, and models are large downloads, so allow extra time for bigger models or if you plan to self-host.

Compare more options in our Chat assistants category.

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