TrinaxAI is an open-source AI assistant that keeps your data completely local. It combines a beautiful cross-platform PWA chat interface, a developer CLI, RAG-powered code search with citations, voice conversations, and image analysis — all powered by Ollama models running on your own hardware.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/TrinaxCode/TrinaxAI/llms.txt
Use this file to discover all available pages before exploring further.
Quickstart
Get TrinaxAI running on your machine in minutes with a single command.
Installation
Platform-specific guides for Linux, macOS, and Windows.
CLI Reference
Use
trinaxai ask, chat, index, research, and more from your terminal.API Reference
Integrate with TrinaxAI’s FastAPI backend from any client.
What is TrinaxAI?
TrinaxAI is a three-tier local stack: a React PWA on port 3334, a FastAPI RAG engine on port 3333, and Ollama running your models on port 11434. Everything communicates over localhost or your private LAN — no data ever leaves your network.RAG & Indexing
Hybrid vector + BM25 retrieval with AST-aware code chunking for 15+ languages.
Chat & Models
Auto-routing selects the best model per query — general, code, deep, or fast.
Voice & Vision
Speech-to-text, text-to-speech, and local image analysis with qwen2.5-vl.
Memory & Collections
Persistent facts and separate RAG namespaces for each project.
PWA
Install as a native app on iOS, Android, and desktop with offline support.
Security
Local-only by default. System endpoints require authorization.
Get started in 60 seconds
Install on Linux or macOS
Open the PWA
Navigate to
https://localhost:3334 in your browser. Accept the self-signed certificate prompt and start chatting immediately.Index your code
TrinaxAI auto-detects your available RAM and selects an appropriate hardware profile (8 GB, 16 GB, max, or ultra). You can override this with
--profile during install or TRINAXAI_PROFILE in your .env.