Double Agent is a multiplayer Co-Op stealth based spy simulator focused on using equipment and environment strategy to complete objectives however the player sees fit. This is a prototype we have worked on as a Game Programming capstone project at Humber College. There is a tutorial to teach you the basics, a fully designed mansion level as well as a very small bonus winery level.

　　“Double Agent” is the first game we've released publicly as a full prototype. The project is at a complete state in terms of a prototype (aside from existing bugs).

　　Level One - Little Hoss' Mansion In Double Agent, you play as a secret agent tasked to recover top secret government intel stolen by a notorious Mob Boss, Little Hoss. You are being sent to a masquerade ball at his newly refurbished mansion. You're free to use as many or as few gadgets at your disposal. All that is asked of you is to complete the mission objectives and evacuate the mission without dying and exposing your employers. The organization you work for has a strict no killing policy, forbidding you from using any form of lethal force. The mob does not play by these same rules, so stealth is of utmost priority. Little Hoss is known to be an apprehensive fellow and if you happen to startle him he will retreat to one of his 2 designated safe rooms to hide for the remainder of the party. He also has a very strong and very British butler that is ready to turn you into a marketable human-paste if you step out of line. Along with Wentworth Chambers, you'll have to avoid detection from an array of Guards tasked with making sure the party guests are safe. Are you smarter than a crime syndicate?

　　Default Controls: WASD - Movement Controls Space - Jump Ctrl - Crouching Alt - Walking Shift - Running T - Whistle F - Takedown enemy from behind E - Interact with items Tab - Open Inventory ESC - Pause C - Change Camera X - Show/Hide Objectives LMB - Primary Equipped Item Use RMB - Secondary Equipped Item Use Minimum Specs: Targetting 60fps at 1080p, lowest settings

　　CPU: i5-8400 GPU: GTX 970 // GTX 1060 (or similar) RAM: 12gb We would appreciate any and all feedback from anyone! Feedback here

　　Follow our twitter for potential future updates: Twitter

　　Check out the full source code on our github: Github

　　The Game Design Document is listed in the downloads if you're interested in reading through it. Trello page

　　About the Devs: Christopher Major & Eric Mazza

　　We are both programmers and this was our capstone project for Game Programming at Humber College that incorporates AI behavior, networking, and UI. We were working on this project as a stand alone portfolio piece, but may be interested in continuing this project if there is enough interest for it.

　　Eric Mazza

　　Christopher Major