
THE ULTIMATE
GAMING AI DASHBOARD
Next-generation tactical HUD overlay built for high-performance rigs. Monitor thermals in real-time, trigger agentic system commands, and receive low-latency AI tactical advice—directly inside your game.
GAIN THE UNFAIR ADVANTAGE
Engineered natively for Windows 11 and Linux gaming environments. Minimal CPU footprint, maximum in-game intelligence.
5 AI Personalities
Switch dynamically between Tactical, Friendly, Immersive, Sarcastic, and Aggressive modes. The neural engine analyzes game state to deliver real-time voice and HUD guidance.
Deep Game Scanner
Scans game directories up to 3 folders deep to automatically configure DLSS 3.5 Frame Generation, Reflex Low Latency, and Path Tracing.
Agentic Hooks
Empower the AI assistant to perform headless background tasks: flush PyTorch VRAM, execute game scripts, or trigger hardware fan profiles.
Hardware-Locked Privacy
Telemetry and custom prompt histories are encrypted and locked directly to your physical hardware UUID. 100% local processing—no cloud data mining.
Live Web Context
Concurrent background workers scrap game wikis, boss vulnerabilities, and patch notes, feeding actionable insights directly into your tactical HUD.
Stealth Boost Mode
Suspends background UI threads and purges standby memory caches during active gameplay to maximize every raw frame.
IMMERSIVE IN-GAME HUD OVERLAY
Mission Control injects an ultra-transparent, non-intrusive heads-up display. Summon tactical advice, execute hardware commands, or review real-time telemetry graphs without alt-tabbing away from combat.
"Enemy squad approaching from Ring East. Recommending VRAM flush to preserve 1% low frame consistency."
REPLACE THE BLOATWARE
Traditional game launchers hog hundreds of megabytes of RAM, track user telemetry, and slow down your PC. See how Mission Control stacks up.
Standard Launchers
Electron & Chromium Wrappers
- ✕ Cloud dependency for game launch
- ✕ Frequent intrusive web updates
- ✕ Micro-stutters during high CPU loads
Mission Control
Native C++ & PyTorch CUDA
- ✓ Zero Cloud Dependency (Local Models)
- ✓ Instant OS startup in under 200ms
- ✓ Automated PyTorch VRAM flushing
READY TO ENGAGE?
Select your operating system deployment package below.
Linux
AppImage / .deb Package
SYSTEM REQUIREMENTS
Minimum System Specs
- OS: Windows 10 64-bit
- GPU: NVIDIA GTX 1060 (6GB VRAM)
- RAM: 16 GB System RAM
- Storage: 4 GB NVMe / SSD
Recommended Specs
- OS: Windows 11 64-bit
- GPU: NVIDIA RTX 2060+ (6GB+ VRAM)
- RAM: 32 GB High-Speed RAM
- Acceleration: TensorRT Enabled
FREQUENTLY ASKED QUESTIONS
Everything you need to know about setup, anti-cheat safety, and local inference.