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🤖 MARK XL — Local AI Assistant

J.A.R.V.I.S — Just A Rather Very Intelligent System
Cross-platform voice AI assistant running entirely on local hardware. No cloud APIs required.


Overview

MARK XL is a fully local, real-time voice and visual AI agent. It combines offline speech recognition, a locally hosted LLM (via Ollama), and text-to-speech to deliver a privacy-first personal assistant with OS-level control capabilities.

Successor to the previous mark, which used the Google Gemini Live API. MARK XL removes all cloud LLM dependencies while adding streaming responses, a dynamic configuration UI, and multi-language support.


Architecture

Microphone → STT (Whisper / Vosk)
                  ↓
           Ollama LLM (tool calling + streaming)
                  ↓
         Tool Execution (OS, Browser, Files …)
                  ↓
           TTS (EdgeTTS / Kokoro / ElevenLabs)
                  ↓
              Speaker

Core Components

Layer Technology Notes
STT faster-whisper / Vosk Fully offline. Auto language detection or forced locale.
LLM Ollama (any model) qwen2.5, llama3.2, mistral, etc. Streaming + tool calling.
TTS EdgeTTS / Kokoro / ElevenLabs EdgeTTS = free + internet. Kokoro = fully offline.
UI PyQt6 HUD overlay with system monitor, log panel, file drop zone.
Agent Custom task queue Multi-step planner + executor + error recovery.

Features

  • Streaming responses — TTS starts speaking on the first sentence, not after the full response
  • Tool calling — 18 built-in tools: browser control, file management, weather, YouTube, messaging, screen analysis, code helper, game updater, flight finder, and more
  • Long-term memory — Silently saves personal facts; recalled in every conversation
  • Live configuration — Change LLM model, STT engine, TTS voice without restarting (⚙ Configure button)
  • Ollama auto-start — Automatically launches ollama serve if it's not running
  • Model warmup — Pre-loads the LLM into memory during startup so the first message is as fast as subsequent ones
  • Multi-language STT — Set stt_language to auto (Whisper detects) or a specific locale (tr, de, fr, …)
  • Cross-platform — Windows, macOS, Linux (OS detected automatically at runtime)
  • File drop zone — Drag and drop images, PDFs, Word docs, CSV, audio, video for AI processing

Requirements

  • Python 3.11 or 3.12
  • Ollama installed and a model pulled (e.g. ollama pull qwen2.5:7b)
  • A microphone

Quick Start

# 1. Install Ollama → https://ollama.com
#    Then pull a model:
ollama pull qwen2.5:7b

# 2. Clone / download the project and launch
cd Mark-XL
python main.py

That's it. On first run MARK XL:

  1. Auto-installs base packages (PyQt6, numpy …) and restarts once
  2. Opens the Initialisation overlay — choose STT engine, LLM model, TTS engine
  3. Click INITIALISE SYSTEMS — engine packages install in the background (progress shown in log)
  4. JARVIS comes online

After setup, use the ⚙ CONFIGURE button in the right panel to change any setting at any time without restarting.


Configuration (config/api_keys.json)

{
    "stt_engine":         "whisper",
    "stt_model":          "base",
    "stt_language":       "auto",
    "llm_url":            "http://localhost:11434",
    "llm_model":          "qwen2.5:7b",
    "tts_engine":         "edgetts",
    "tts_voice":          "en-US-GuyNeural",
    "elevenlabs_api_key": ""
}
Key Values Default
stt_engine whisper / vosk whisper
stt_model tiny / base / small / medium / large-v3 base
stt_language auto or ISO code (tr, en, de …) auto
llm_url Ollama API base URL http://localhost:11434
llm_model Any model pulled in Ollama qwen2.5:7b
tts_engine edgetts / kokoro / elevenlabs edgetts
tts_voice Voice name / ID depending on engine en-US-GuyNeural

Built-in Tools

Tool Description
open_app Opens any application or website
web_search Web search and compare mode
weather_report Current weather for any city
send_message WhatsApp / Telegram messaging
reminder Timed reminders via Task Scheduler
youtube_video Play, summarize, trending videos
screen_process Screen capture + vision model analysis
computer_settings Volume, brightness, window management, shortcuts
browser_control Full Playwright browser automation
file_controller File/folder CRUD, search, disk usage
desktop_control Wallpaper, organize, clean desktop
code_helper Write, edit, explain, run code
dev_agent Build complete multi-file projects
agent_task Multi-step autonomous task execution
computer_control Direct mouse/keyboard control
game_updater Steam / Epic Games install & update
flight_finder Google Flights search
file_processor Process images, PDFs, CSV, audio, video

Keyboard Shortcuts

Key Action
F4 Mute / unmute microphone
F11 Toggle fullscreen

TTS Engine Comparison

Engine Internet Quality Cost
EdgeTTS Required Good Free
Kokoro No Excellent Free (local model ~100 MB)
ElevenLabs Required Best Paid API

License

MIT — FatihMakes Industries

S
Description
Newest, latest and most advanced model that is able to control computers and even more. We're improving that model day by day, so follow up to know and see new models.
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