Chatbots and AI assistants compared by where your prompts go, who keeps them and for how long, with local models as the private default.
Last reviewed · 24 entries
People tell AI chatbots things they would never type into a search box: health worries, legal trouble, relationship problems, drafts of private messages, whole documents, and code with passwords still in it. With a mainstream assistant all of that goes to the company’s servers in readable form, is tied to your account, and may be kept for years, read by reviewers, used to train future models, used to choose ads, or handed over under a court order.
This guide sorts assistants by how much of that you have to trust. A model running on your own device sends nothing anywhere. Privacy-focused services keep less, and a few use hardware isolation so that even the operator should not be able to read your prompts. Mainstream assistants can be made less invasive with the right settings, but you still depend on the company keeping its word, and its policies can change.
A hosted assistant runs the language model on the provider’s computers. Your prompt, any files you attach and the reply are processed there as plain text, then usually saved to your chat history. From that point the provider’s policies decide what happens: how long the chat is kept, whether it is used to train the next model, whether people read samples of it, and what it hands over when a court or the police ask. A local model avoids all of this because the prompt never leaves your device.
Approach
Who can read your prompt
What you rely on
Examples on this page
Local model
Nobody else: it stays on your device
The security of your own device
Jan, Ollama, llama.cpp, PocketPal AI
Confidential computing
In principle only the verified code inside a hardware enclave
Chip makers, correct attestation checks and the physical security of the data centre
Maple, Confer, Venice (TEE and E2EE modes), some Duck.ai models
No-logs policy
The operator, while processing it
The operator’s honesty and its legal situation
Proton Lumo, Duck.ai, Brave Leo, Kagi Assistant
Standard account-based assistant
The provider, its reviewers and anyone who can compel it
Settings you have to find, switch off and re-check
ChatGPT, Claude, Gemini, Copilot, Vibe, Meta AI, Grok, DeepSeek
Four ways an assistant can handle your prompt, from most to least private
What "encrypted" means for an AI service
In a messenger, end-to-end encryption (E2EE) means the server only ever handles scrambled data. An AI service cannot work that way: the model has to read your prompt somewhere. If it runs on ordinary servers, "encrypted" only describes the connection (TLS) or the stored chat history. Zero-access encryption of history means saved chats are locked with a key only you hold, but the prompt was still readable while it was being answered. Only when the model runs inside a trusted execution environment (TEE), and your app checks that environment before sending, can the operator be shut out by technical means rather than by promise.
None of these risks is hypothetical. Every item below happened in 2025 or 2026.
Training and human review. An October 2025 Stanford study of Amazon, Anthropic, Google, Meta, Microsoft and OpenAI found that all six used chats to train models by default; some kept them indefinitely and some let people read transcripts (Stanford HAI). Google keeps human-reviewed Gemini chats for up to three years, even if you delete your activity (Google).
Court orders. In May 2025 a US judge ordered OpenAI to preserve ChatGPT output logs, including deleted and temporary chats, for the New York Times copyright case. The order stopped applying to new chats from 26 September 2025, but logs already saved stayed preserved (Engadget). In January 2026 a judge upheld an order to hand 20 million de-identified ChatGPT conversations to the news plaintiffs (Bloomberg Law).
No legal privilege. OpenAI’s chief executive said in July 2025 that chats with ChatGPT have none of the confidentiality of talking to a therapist, doctor or lawyer, and could have to be produced in a lawsuit (TechCrunch).
Reports to the police. Providers scan chats with automated classifiers. OpenAI said in August 2025 that it sends chats about harming others to human reviewers and may refer imminent threats to law enforcement (Futurism). In September 2026 a Florida woman was charged after Anthropic’s safety systems flagged her messages to its AI platform threatening a sheriff’s office and its reviewers reported them to police; she said she used AI like a diary (WINK News).
Shared chats in search results. In July 2025 ChatGPT conversations shared with a "discoverable" option showed up in Google; OpenAI removed the option (TechCrunch). In August 2025 hundreds of thousands of shared Grok chats were searchable on Google, Bing and DuckDuckGo (TechCrunch). Meta AI app users published conversations containing home addresses and court details without realising (TechCrunch).
Ads. Since 16 December 2025 Meta uses conversations with Meta AI to personalise ads and posts in most regions (Meta). ChatGPT began showing ads in its free tier in the US in February 2026, chosen using the conversation’s context, and by September 2026 in more than 40 countries (CTech). Copilot shows ads to people without Microsoft 365. Anthropic said in February 2026 that Claude would stay ad-free.
Leaks between users. In January 2025 an open DeepSeek database exposed over a million log lines, including chat history and API keys (Wiz). From August to September 2026 a caching bug in Cloudflare’s hosted GLM-5.3 model put fragments of other customers’ prompts into 155 responses (Cloudflare).
Tools that take more than you expect. In July 2026 the Grok Build coding agent was found uploading whole Git repositories, including old commits with deleted secrets, to cloud storage (The Register).
Memory and connected accounts
Memory features save facts about you (name, job, health, plans) and feed them into later chats. Since August 2025 Gemini has been rolling out personalisation from past chats, on by default for adult accounts, and Copilot keeps saved memories until you remove them. Connected apps go further: linking email, calendar or cloud storage lets the assistant, and therefore the provider, read that data too. Google notes that disconnecting an app does not delete what Gemini already saved from it, and Meta uses AI chats to personalise every account linked in its Accounts Center. Every link you add widens what one subpoena, breach or policy change can expose.
The most private assistant is one that runs on your own hardware: no account, no server, no log, and it keeps working offline. This is possible because many developers publish open-weight models, meaning the trained model file can be downloaded and run by anyone. Current families include Qwen, Gemma, gpt-oss, Mistral, DeepSeek, GLM and Kimi. Open weights are not the same as open source: the training data and training code are usually not published.
The trade-off is hardware. Model size is counted in billions of parameters (7B, 13B, 70B), and the whole model has to fit in memory. Local apps usually download quantised versions, which store the model’s numbers at lower precision so they fit in less memory, at some cost in quality. A model that runs on a laptop is less capable than the largest hosted models, but is often good enough for drafting, summarising, translating and private brainstorming. Privacy Guides suggests these rough minimums:
Model size
Memory
Processor
7B
8 GB RAM
Modern CPU with AVX2 support
13B
16 GB RAM
Modern CPU with AVX2 support
70B
72 GB RAM
GPU with dedicated video memory (VRAM)
Rough minimums from Privacy Guides (updated May 2026). Long chats and large documents need more memory; a GPU or fast memory makes replies much quicker.
Open-source desktop app from Menlo Research for downloading open-weight models and chatting with them entirely offline. The easiest fully open option for most people. It can also connect to cloud providers if you add an API key, so check which model each chat uses.
Platform Support
WindowsmacOSLinuxOpen sourceNo account
Advantages
+Open source (Apache 2.0)
+Runs fully offline once a model is downloaded
+Built-in model downloader from Hugging Face
+Chats and logs stay on your computer, per its privacy page
+Local OpenAI-compatible server for other apps
+Actively developed (v0.8.8, October 2026)
Drawbacks
-Optional cloud connections send prompts to that provider
-Needs enough RAM for the model you choose
-Laptop-sized models are less capable than the largest hosted ones
Open-source tool that downloads and runs open-weight models with one command and serves them to other apps, such as Open WebUI. Recommended by Privacy Guides. It now also sells hosted cloud models, which are not private in the same way.
The open-source inference engine that LM Studio, llamafile, KoboldCpp and many other apps build on. On its own it offers a command-line chat and a server with a built-in web interface and an OpenAI-compatible API.
Single program built on llama.cpp that runs open-weight models with a bundled web interface. Popular for creative writing and role-play, with many tuning options. Recommended by Privacy Guides.
Mozilla.ai project that packs llama.cpp into a single executable file that runs on most operating systems without installation. Recommended by Privacy Guides.
Polished desktop app for finding, downloading and running local models, with a local API server. The app itself is closed source; its SDKs, command-line tool and Apple MLX engine are open source.
Platform Support
WindowsmacOSLinuxNo account
Advantages
+Easy model search and download
+Free for home and work use since July 2025
+Privacy policy: local chats and documents stay on your device
+Uses the llama.cpp and Apple MLX engines
Drawbacks
-Closed-source app: you cannot check what it does
-Update checks send app version, operating system and your IP address
-Optional paid cloud models and web search send data off the device
Self-hosted web interface that gives Ollama, llama.cpp or any OpenAI-compatible server a ChatGPT-style front end, with several users, document chat and plugins. Useful for sharing one local model across a household.
Platform Support
WebSelf-hostableNo account
Advantages
+Runs on your own computer or server; no account with the project
+Works fully offline with local back ends
+Source code is public
Drawbacks
-Since April 2025 under its own licence with a branding clause, not OSI open source
-Remote back ends you connect receive your prompts
When your hardware is not enough, these services keep far less than mainstream assistants. They differ in how they protect you. Maple and Confer are built around confidential computing with attestation, so your app can check what the server runs; Venice and Duck.ai offer this for some models. Otherwise these services rely on policies and contracts: no logs, no training, prompts forwarded without your IP address. That is a big improvement on the default, but you cannot verify it from outside, and you still should not paste anything you could not afford to see leaked.
Private AI chat that runs open-weight models inside hardware enclaves. The app checks the enclave’s attestation before sending anything, and stored chats are encrypted so that the operator should not be able to read them.
Private AI chat from Signal founder Moxie Marlinspike, publicly available since December 2025. Prompts are encrypted from your device into an attested confidential virtual machine, and saved chats are encrypted with keys derived from your passkey.
March 2026: Confer said it will help bring its privacy technology to Meta AI, and that it continues to operate independently.
Platform Support
WebEnd-to-end encrypted
Advantages
+Designed so the operator cannot read prompts, replies or saved chats
+Reproducible builds and a public, append-only log of releases
+Passkey sign-in without passwords or seed phrases
+Detailed public write-ups of the design
Drawbacks
-Young service with little independent review so far
-Its GitHub lists server images and a proxy, not the app; not all show a licence
-Needs a passkey-capable browser; Windows and Linux need a password manager
Assistant from Proton that runs open models on servers it controls in Europe. Proton says it keeps no logs and stores chat history with zero-access encryption, but prompts are decrypted on its GPU servers to be answered.
Platform Support
AndroidiOSWebOpen sourceNo account
Advantages
+No-logs policy; chats not used for training
+Saved history encrypted so only you can read it
+Guest mode without an account
+Web client is open source (GPL-3.0)
+Web search is off unless you enable it
Drawbacks
-Prompts are readable on Proton’s servers while being processed
-No attestation: the no-logs promise cannot be checked
-Open models only (Qwen 3.5, GLM 5.3 and others)
-Free tier is limited; unlimited use needs Lumo Plus
Free AI chat from DuckDuckGo that forwards your prompts to OpenAI, Anthropic, Mistral, Microsoft Azure and to open models run by Tinfoil, after removing your IP address. Recent chats are stored on your device, not on DuckDuckGo’s servers.
Platform Support
WebNo account
Advantages
+No account; usage limits enforced anonymously
+IP address and other metadata removed before forwarding
+Providers agreed to delete prompts after replying and not to train on them
+Some open models run in Tinfoil’s attested enclaves
+Optional end-to-end encrypted sync
Drawbacks
-Providers may hold chats in memory for up to an hour (prompt caching)
-Anthropic may keep chats where law requires or to fight abuse
-Relies on contracts you cannot check; closed source
Assistant built into the Brave browser. Brave says it does not store prompts or replies, does not collect your IP address and does not train on chats. You can also point Leo at a model running on your own computer.
Platform Support
WindowsmacOSLinuxAndroidiOSOpen sourceNo account
Advantages
+No account for the free version
+Premium uses unlinkable tokens, separating payment from use
+Chat history stays on your device
+Bring your own model, including a local one
+Browser is open source (MPL-2.0)
Drawbacks
-Sends the page’s content when you ask about a page
-Large prompts may be cached for minutes; feedback kept one year
Assistant included with Kagi search accounts, offering models from many providers. Threads are deleted after one day by default, and Kagi publishes each model provider’s retention terms.
Platform Support
Web
Advantages
+Threads auto-delete after one day unless you keep them
+No account details sent to model providers
+Public table of each provider’s retention and training terms
+Accepts cryptocurrency; Privacy Pass sign-in available
Drawbacks
-Needs a Kagi account; premium models need the Ultimate plan
-Major model providers keep prompts up to 30 days, per Kagi’s table
AI platform from a US company that markets itself as private and uncensored. It offers several privacy modes, from forwarding prompts to frontier models with identifying metadata removed to running them in enclaves with end-to-end encryption.
Platform Support
Web
Advantages
+Chat history stored on your device, not its servers
+Private mode: open models, prompts and replies not stored
+TEE and end-to-end encrypted modes on Pro
+Free tier available
Drawbacks
-In Anonymous mode the model provider "likely saves" your prompt
-Strongest modes need Pro ($18 a month)
-End-to-end encrypted mode disables web search and memory
All of these need an account for full use, read your prompts in plain text on the company’s servers, and depend on settings you have to find yourself. They are judged here by the same criteria: whether chats train models by default, how long they are kept, whether people read them, whether they feed advertising, past incidents, and where the company is based.
Assistant
Chats used for training
How long chats are kept
Company
ChatGPT
Yes, unless you opt out; Temporary Chat excluded
Until you delete them; temporary chats 30 days
OpenAI, US
Claude
Only with Model Improvement on (2025 pop-up preset to On); Incognito excluded
Until you delete them (then purged within 30 days); up to 5 years de-identified if training is on
Anthropic, US
Gemini
Yes while Keep Activity is on; temporary chats excluded
18 months by default; human-reviewed chats up to 3 years
Google, US
Copilot
Not for foundation models (app updated August 2026)
Not stated for the new app; older app 18 months
Microsoft, US
Vibe (Le Chat)
Yes for individual accounts, unless you opt out
No period given in its help centre
Mistral AI, France; EU hosting by default
Meta AI
Yes, with no clear opt-out
"As long as we need it"
Meta, US
Grok
Not stated in its FAQ; EU inquiry into training on X posts
Deleted chats removed "within standard retention windows"
SpaceXAI LLC (branded SpaceXSI, formerly xAI), US
DeepSeek
Yes; opt-out only by email request
As long as you have an account
DeepSeek, China; data stored in China
Consumer plans as of October 2026. Details and sources are in each entry below.
OpenAI’s assistant, the most widely used chatbot. Consumer chats are used for training unless you opt out, and the free tier has shown ads since February 2026.
Ads in the free tier since February 2026, chosen using conversation context; in more than 40 countries by September 2026.
Platform Support
WindowsmacOSAndroidiOSWeb
Advantages
+Training opt-out in settings
+Temporary Chat: not in history, not used for training
+Memory is optional
Drawbacks
-Trains on chats by default
-Chats kept until you delete them; humans may review them
-Temporary chats still kept for up to 30 days
-Court order made OpenAI keep deleted chats from May to September 2025
-20 million de-identified chats ordered handed to news plaintiffs (January 2026)
-May refer chats about threats of violence to police
Anthropic’s assistant. Since late 2025, consumer chats are used for training and kept for up to five years unless you switch off Model Improvement. Anthropic has committed to keeping Claude free of ads.
Platform Support
WindowsmacOSAndroidiOSWeb
Advantages
+No ads (February 2026 commitment)
+Incognito chats never used for training
+With training off, deleted chats removed within 30 days
+Shared links can be revoked from settings
Drawbacks
-The 2025 pop-up for existing users had training preset to On
-Up to 5 years of de-identified retention when training is on
-Rating a reply stores the whole chat for 5 years
-Flagged chats kept 2 years and safety scores 7 years
Google’s assistant, tied to your Google account. While Keep Activity is on, chats are saved, used to improve Google services including model training, and a sample is read by human reviewers.
Platform Support
AndroidiOSWeb
Advantages
+Temporary chats: not used for training, kept 72 hours
+Keep Activity can be switched off
+Audio and Gemini Live video not used for improvement by default
+Auto-delete can be shortened to 3 months
Drawbacks
-Human-reviewed chats kept up to 3 years, even after you delete activity
-Default auto-delete is 18 months
-Personalises from past chats by default (rolling out since August 2025)
-Disconnecting a linked app does not delete what Gemini saved from it
-Feedback you send is collected and used even with Keep Activity off
Microsoft’s consumer assistant. For the app released on 18 August 2026, Microsoft says prompts, responses and files are not used to train foundation models, but people without Microsoft 365 see ads that can draw on their chat history.
New app and privacy terms since 18 August 2026; older app versions follow the previous privacy FAQ.
Platform Support
WindowsmacOSAndroidiOSWeb
Advantages
+New app: chats not used to train foundation models
+Memory and ad personalisation can each be turned off
+No personalised ads for signed-in users under 18
Drawbacks
-Ads for users without Microsoft 365; may use chat history and memories
-No retention period stated for the new app
-Older app trained on chats by default and kept them 18 months
-Human review of suspected policy violations, with no opt-out (older FAQ)
Assistant from the French company Mistral AI, called Le Chat until August 2026. Data is hosted in the EU by default, but individual accounts are used for training unless you opt out.
Le Chat was renamed Vibe on 12 August 2026; accounts and conversations carried over.
Platform Support
AndroidiOSWeb
Advantages
+EU hosting by default
+Training opt-out on web and mobile
+Mistral publishes open-weight models you can run locally instead
Drawbacks
-Training on by default for individual accounts
-Thumbs up or down sends that exchange for training on any plan
Meta’s assistant in Facebook, Instagram, WhatsApp, Messenger and its own app. Conversations are used for training and, since December 2025, to personalise ads and content across Meta’s apps.
Since 16 December 2025, chats with Meta AI personalise ads and feeds in most regions.
Platform Support
AndroidiOSWeb
Advantages
+Meta says chats about health, religion, politics and other sensitive topics are not used for ads
Drawbacks
-Trains on chats by default with no clear opt-out
-No way to stop ad use described other than not using Meta AI
-Data shared across all accounts linked in Accounts Center
-App users published private chats without realising (2025)
Chatbot from Hangzhou-based DeepSeek, whose privacy policy says personal data is collected, processed and stored in China. Its open-weight models are a different matter: run locally, they send nothing to DeepSeek.
October 2026: a July 2026 US Department of Homeland Security order banning DeepSeek from civilian government agencies was made public.
Platform Support
AndroidiOSWeb
Advantages
+Open-weight models under the MIT licence for local use
Drawbacks
-Data stored in China
-Uses inputs for training; opt-out only by emailing DeepSeek
-Keeps data as long as you have an account
-Exposed database leaked chat history and API keys (January 2025)
-Korean regulator: sent prompts to a Chinese cloud without consent (2025)
-Blocked in Italy in January 2025; banned on many government devices
Agents do more than answer: they browse, click, fill in forms, read your email or run code for you. Examples include AI browsers such as ChatGPT Atlas (launched October 2025) and Perplexity Comet, coding agents, and self-hosted assistants such as OpenClaw that connect to your messaging apps. An agent acts with your logged-in sessions, so anything it can be tricked into doing, it does as you.
The main weakness is prompt injection: instructions hidden in a web page, email, document or code comment that the model reads and obeys as if you had typed them. In 2025 Brave showed that a hidden Reddit comment could make Comet, when asked to summarise the page, fetch the user’s email address and a one-time login code and post them back to the attacker; Brave later found Perplexity’s first fix incomplete (Brave). Simon Willison calls the dangerous combination the lethal trifecta: access to private data, exposure to untrusted content, and a way to send data out. Any agent with all three can be made to leak (Simon Willison).
Do not run an agent in a browser profile that is signed in to your email, bank, password manager or work accounts. Use a separate profile or browser with nothing in it.
Avoid giving one agent your private data, the open web and a way to send messages at the same time.
Turn on confirmation prompts for purchases, logins, sending messages and deleting files, and read what the agent is about to do.
Do not install third-party agent "skills" or plugins you have not read. Skills for OpenClaw are zip files with instructions and scripts, and can be malicious (Simon Willison).
Check what coding agents upload. Grok Build sent whole repositories, including old secrets, until a server setting was changed in July 2026.
Never paste secrets. Passwords, API keys, recovery codes, ID and bank numbers do not belong in any hosted assistant. Treat every prompt as something that may be stored for years and read by a stranger.
Leave out names and identifying details. Describe the situation instead of the person. A question about "a colleague" reveals less than one with a name, employer and town.
Strip metadata from photos and documents before uploading them; see the metadata guide. Do not upload other people’s photos or private messages without their consent.
Use a local model for anything sensitive: health, legal matters, sources, finances or your employer’s data.
Settings worth changing
Turn off training. In Claude, switch off Model Improvement (the "Help improve our AI models" toggle under Settings, Privacy); in Gemini, turn off Keep Activity; in Vibe, turn off "Allow your interactions to be used to train our models"; in ChatGPT, use the data controls in settings. Check again after major app updates.
Use temporary modes for one-off questions: ChatGPT Temporary Chat (kept up to 30 days), Claude Incognito, Gemini Temporary Chat (72 hours).
Skip the thumbs up and down buttons. Feedback can override your opt-out: Anthropic keeps the whole rated conversation for five years, Mistral may train on rated exchanges on any plan, and Google may use chats you send as feedback.
Review memory and connected apps. Delete saved memories you do not want, turn memory off if you do not need it, and disconnect email, calendar and storage you are not actively using.
Unshare old links. A shared chat is public to anyone with the URL and can end up in search engines. Claude lists them under Settings, Privacy, Shared chats; other assistants have similar pages.
Delete chats you no longer need, but do not treat deletion as instant or complete: copies may remain for weeks, under legal holds, or in models already trained.
Keep it separate from your identity
Use a separate account with an email address that is not tied to your name, and do not sign in with Google, Apple or Facebook; see the alting guide.
Hide your IP address from hosted services with a VPN or Tor where that is legal for you; see the VPN guide. Duck.ai and Brave Leo already strip it before forwarding prompts.
Pay privately where you can: Kagi accepts cryptocurrency, and Brave Leo Premium uses unlinkable tokens.
Do not mix work and personal use in one account, and do not paste your employer’s confidential material into a personal assistant.
Common mistakes
Assuming a paid plan is private. Claude Pro and Max, for example, follow the same training rules as the free plan.
Trusting the word "encrypted". Ask where the model runs and who can read the prompt while it is being answered.
Forgetting browser extensions. An extension allowed to read all websites can read your AI chats too; see the browser guide.
Opening a local model server to the network without a password, or running an outdated local app.
Pasting text from untrusted sources into an agent without reading it first: that is how prompt injection gets in.