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Atrak Agent

OS-level AI assistant for macOS and Windows that integrates multiple LLMs and APIs to automate tasks, manage workflows, and boost productivity—all running locally on your machine.

Status: Active Development Started: Sep 2025 Lead: Charlie Han Platforms: macOS, Windows

🎯 The Problem

Modern knowledge workers spend hours on repetitive tasks: scheduling, file management, research, and context-switching between apps. AI assistants exist, but they're cloud-only and lack deep OS integration.

Cloud Dependency

Most AI tools require constant internet and send all your data to external servers.

Shallow Integration

Chat interfaces can't control your desktop, open apps, or manage files directly.

Context Loss

Every new session forgets your workflows, preferences, and ongoing projects.

👥 Users & Impact

Local
Privacy-first, runs on device
Multi-LLM
Routes to best model per task
Plugins
Extensible tool ecosystem

Target Users

  • Developers wanting AI-assisted coding and automation
  • Researchers managing large knowledge bases
  • Power users automating repetitive workflows
  • Teams needing local-first AI for sensitive work

🎬 Demo

Video Walkthrough

▶️

Demo video coming soon

Automated workflow showcase

Screenshots

Command Bar
Task Queue
Plugin Manager
Settings

🚀 How to Run

🧪Alpha Access
💻From Source

Join Alpha Testing

  1. Fill out the access request form
  2. We'll review and send you a download link
  3. Install and configure your API keys
  4. Join our feedback channel for updates

Alpha builds are available for macOS and Windows. Linux is planned.

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                       Atrak Agent                           │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐  │
│  │   Command    │───▶│   Router     │───▶│   LLM Pool   │  │
│  │   Parser     │    │   (intent)   │    │   (GPT/Claude│  │
│  └──────────────┘    └──────────────┘    │   /Local)    │  │
│                                          └──────────────┘  │
│         │                                       │          │
│         ▼                                       ▼          │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐  │
│  │   Plugin     │◀──▶│   Safety     │◀──▶│   Response   │  │
│  │   System     │    │   Layer      │    │   Handler    │  │
│  └──────────────┘    └──────────────┘    └──────────────┘  │
│                                                             │
├─────────────────────────────────────────────────────────────┤
│  OS Layer: File I/O │ Process Control │ Clipboard │ Shell │
└─────────────────────────────────────────────────────────────┘
                            

Tech Stack

Python Electron GPT-4 Claude Local LLMs

✨ Key Features

⌨️

Quick Command Bar

Global hotkey summons an AI-powered command interface from anywhere.

🔀

Smart LLM Routing

Automatically picks the best model for each task—fast for simple, powerful for complex.

🔌

Plugin System

Extend with custom tools: calendar, email, code runners, web scrapers, and more.

🛡️

Safety Constraints

Configurable guardrails prevent destructive actions without confirmation.

💾

Context Memory

Remembers your projects, preferences, and ongoing tasks across sessions.

🔒

Local-First

Your data stays on your machine. API calls are minimal and can use local models.

🖥️

Cross-Platform

Designed to run on both macOS and Windows with the same workflow and UI.

📊 Metrics & Results

~200ms
Command parse time
12
Built-in plugins
3
LLM providers supported
macOS + Windows
Supported platforms

Development Notes

Currently in alpha testing with 5 internal users on macOS and Windows. Focus is on stability and core workflow coverage before expanding to Linux.

🗺️ Roadmap

v0.1 — Core Agent

Command parsing, LLM integration, basic file operations

v0.5 — Plugin System

Extensible tools, calendar/email integration

v1.0 — Public Alpha

Stable release, documentation, onboarding flow

v2.0 — Multi-Platform

Linux support, local LLM optimization

🙏 Credits

Project Lead

Charlie Han

Development

Atrak Team

AI/ML

OpenAI, Anthropic, Ollama

Framework

Python + Electron

Inspired by the vision of truly helpful AI assistants that respect user privacy and agency.