Atlarix

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Atlarix

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Freemium

Atlarix is a desktop AI coding copilot that

solves the core problem with existing AI tools:

they work blind.

Most AI coding assistants only see the files

you have open. Atlarix parses your entire

codebase using Round-Trip Engineering, builds

a live visual architecture diagram called

Blueprint, and uses that as a RAG knowledge

base for every AI query.

The AI always knows your full architecture

before touching anything. Full context at

~5K tokens instead of 100K+.

Supports 8 cloud AI providers plus fully

offline local models via Ollama and LM Studio.

Your code never has to leave your machine.

Apple Notarized on macOS. Free tier available.

Built by NorahLabs.

Productivity · Development Tools · Artificial Intelligence

Features

Visual Blueprint — interactive architecture

diagram of your entire codebase that updates

automatically as your code changes

RTE Parsing — TypeScript and Python parsers

produce a full node/edge graph of your project

with incremental file watcher updates

Graph RAG — AI queries the graph and loads

only relevant code into context, ~5K tokens

per query instead of 100K+

Four-Agent System — Research, Architect,

Builder, and Reviewer agents with Guided

and Autonomous delegation modes

8 AI Providers — Claude, GPT-4, Gemini,

Groq, Mistral, xAI, OpenRouter, Together AI

Local Models — full Ollama and LM Studio

support for completely offline coding

57 Intelligent Tools — file ops, web search,

command execution, semantic search, DB

extension for PostgreSQL, MySQL, SQLite

Permission Queue — approve or reject every

file change before it executes

Token Budget — per-provider caps with

real-time color-coded usage bar

BYOK — bring your own API keys, no data

stored on Atlarix servers

Apple Notarized and code-signed on macOS

Use Cases

Understanding a large or unfamiliar codebase

quickly without reading every file manually

Designing new features visually in Blueprint

before writing a single line of code

Building with AI that has full architectural

context across your entire project

Running AI coding workflows completely offline

using local models for maximum privacy

Switching between multiple AI providers without

changing tools or losing project context

Implementing planned features step by step

with AI while reviewing every change first

Connecting to live databases and letting AI

understand your schema as part of the

architecture graph

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Comments

Amariah Kamau

A dev who enjoys making good things for ...

Atlarix started from a frustration I kept running into: AI coding tools are powerful but they work blind. They see whatever files are open and guess at the rest. On any real project that's not enough. I wanted a tool that actually understands your architecture before touching anything. Not just the open file — the whole system. That led to building the Blueprint system — RTE parsers that walk your entire project, produce a node/edge graph, and use it as a RAG knowledge base for every AI query. The AI always knows the full picture. Full context at a fraction of the token cost. v3.7 just shipped with Apple Notarization on macOS. Built by NorahLabs out of Nairobi. This couldn't have been possible without all the active users of Atlarix. To many more achievements 🥳 Would love honest feedback from the Fazier community.

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