Tinariox: Local AI Companion for Android with Memory and Tasks
Published: 2026-10-11 · Author: AI Release · @ai_release1
⚡ The gist in 5 seconds - Tinariox is a free local-first AI companion for Android: chat with LLMs without requiring the cloud. - It supports local LM Studio and Ollama backends, as well as any OpenAI-compatible cloud APIs. - On-device voice input, memory, and tasks are available; it's distributed as a beta APK on GitHub. ### 🔍 What was found A beta APK of the Tinariox project has been published in the SevernyiVeter/tinariox-app repository. The app is described as a free local-first AI companion: chatting with LLMs via local servers (LM Studio, Ollama) or via any OpenAI-compatible cloud endpoint. On-device voice, memory, and a task module are advertised. The mechanics: Tinariox lets you choose the backend for the conversation — a local model running in LM Studio or Ollama, or an external OpenAI-compatible API. In local mode, data never leaves the device, and voice and memory are processed locally. ### 💡 Why it matters The project addresses the need for an offline AI assistant for Android: no hard ties to a cloud service, with the ability to connect your own models. It's a beta for now, so functionality may still change — but the direction is telling: local LLMs are becoming more accessible on mobile platforms too.
⚡ The gist in 5 seconds - Tinariox is a free local-first AI companion for Android: chat with LLMs without requiring the cloud.
- It supports local LM Studio and Ollama backends, as well as any OpenAI-compatible cloud APIs.
- On-device voice input, memory, and tasks are available; it's distributed as a beta APK on GitHub.
🔍 What was found A beta APK of the Tinariox project has been published in the SevernyiVeter/tinariox-app repository.
The app is described as a free local-first AI companion: chatting with LLMs via local servers (LM Studio, Ollama) or via any OpenAI-compatible cloud endpoint.
On-device voice, memory, and a task module are advertised.
The mechanics: Tinariox lets you choose the backend for the conversation — a local model running in LM Studio or Ollama, or an external OpenAI-compatible API.
In local mode, data never leaves the device, and voice and memory are processed locally.