Private chat

Private AI chat on Android.

A private AI chat app that runs on your phone, not in a cloud data center. LlamaBox keeps every conversation local.

A field journalist writes notes while holding a phone inside a subtle privacy boundary.

What is private AI chat?

Private AI chat means talking to a language model without sending your prompts to a remote server. Your questions, the model's answers, and your entire conversation history stay on the device. There is no vendor retention policy, no subprocessor chain, and no cloud account to compromise.

Why cloud chat can never be fully private

Even chat apps with a "private mode" or "no training" promise still route your text through the vendor's infrastructure. That creates several risks a local app removes:

  • Data in transit: encrypted, but still exposed to the provider.
  • Retention and subpoenas: server-side logs can be retained or requested.
  • Breaches and misconfigurations: central databases are high-value targets.
  • Policy changes: today's privacy promise can change tomorrow.

Private AI chat on Android removes the server from the loop entirely.

How LlamaBox delivers private AI chat

  • GGUF models load into app memory and run via llama.cpp on the phone CPU
  • No cloud inference endpoint; local chat inference does not send prompts to a LlamaBox server
  • No account, no API key, no app analytics or conversation telemetry by architecture
  • Works offline after model download — airplane mode included
  • Chat history stored in a local SQLite database

Private AI chat vs cloud "private mode"

LlamaBox private AI chatCloud private mode
Prompts leave deviceNoYes
Works offlineYes, after a model is stored on the deviceNo
Account requiredNoUsually yes
Source statusNot yet public; AGPL-3.0 release plannedProprietary
Model choiceAny GGUF you chooseVendor model

Best use cases for private AI chat

  • Personal journaling and drafts — intimate notes never touch a server
  • Healthcare and therapy journaling — local inference reduces compliance and trust surface
  • Journalism and sensitive sourcing — sources and rough drafts stay on-device
  • Legal and client-confidential work — no vendor exposure
  • Travel and field work — private chat that works without internet

How to start

  1. Install LlamaBox from Google Play.
  2. Download a small GGUF model (0.5B–3B Q4_K_M) over Wi-Fi.
  3. Open LlamaBox and chat. Toggle airplane mode to prove it is local and private.

Related: private ChatGPT alternative · private AI Android · offline AI chat · on-device LLM · best local LLM apps.

FAQ

What is private AI chat?
Private AI chat is a conversation with a language model where prompts, generated answers, and history stay on your device instead of being sent to a vendor server.
Can AI chat be truly private on Android?
Yes. LlamaBox loads a quantized GGUF model into app memory and runs inference on the phone CPU. There is no cloud inference endpoint, so the chat is private by architecture.
Is private AI chat the same as offline AI chat?
They overlap. Private AI chat removes the server from the conversation. Offline AI chat works without a network. LlamaBox does both because the local chat path does not use a LlamaBox server.
How is local AI chat more private than cloud 'private mode'?
Cloud private mode still sends tokens to a server and relies on a privacy policy. Local chat inference does not send the conversation to a LlamaBox server; network features are separate.
What models work for private AI chat on Android?
any compatible GGUF model that fits your phone's RAM. Start with small Q4_K_M quantizations (0.5B–3B class) for smooth private chat on mid-range phones.
Does private AI chat need an account?
No. LlamaBox requires no account, no API key, and no cloud subscription to chat privately.
Available on Google Play

Try private offline AI on Android.

Install from Google Play, download a compatible model, then chat offline.