Tidebreak

Two armies, one island. Take the flags, win the tickets.

Tidebreak is a fast arcade shooter in the spirit of classic sandbox battle games. You are one soldier among dozens: pick a class, pick where to spawn on the map, and fight Azure versus Crimson over eight capture points, from the harbour to the hilltop.

Enemies that learn you

Between matches the enemy team remembers where you camp, which routes you take and how you fight, then tries ambushes, flanks and counter-classes against your habits. You can see exactly how strong the AI has become, turn it down, switch it off, or reset it at any time in Settings > Gameplay > Adaptive AI.

Features

• Big battles: up to 12 bots per team in the demo (24 in the full game)
• Eight capture points on one hand-built island, with houses you can enter, towers, bunkers and an airfield
• Six soldier classes, each with its own weapon: rifle, SMG, sniper, LMG, shotgun and RPG launcher
• Grenades, supply crates, ragdoll deaths and tickets that bleed when you lose ground
• Everything is procedural: the island, the soldiers, the weapons and every sound are generated in code

In this demo

• 3 classes: Rifleman, Scout and Gunner (the full game adds Marksman, Breacher and Rocketeer)
• Matches last up to 12 minutes

Controls

• Move: W A S D
• Sprint: Shift
• Crouch: C
• Jump: Space
• Fire: left click
• Aim down sights: right click
• Reload: R
• Grenade: G
• Switch weapon: 1, 2 or mouse wheel
• Scoreboard: Tab
• Pause: Esc

System requirements (estimate)

Windows 10 or 11 (64-bit), a 4-core CPU at about 3 GHz, 4 GB RAM and a graphics card with Vulkan 1.2 support (GTX 950 / RX 460 or newer). If it stutters, lower "Bots per team" on the loadout screen.

Windows warning

The game is not code-signed yet, so Windows may show "Windows protected your PC". Click More info, then Run anyway.

Support Tidebreak

The demo is free. If you enjoy it, a donation helps pay for more maps, weapons and vehicles: choose "Name your own price" on the download button. Thank you!

Feedback

Tell me in the comments what felt good, what felt unfair, and how the learning AI felt to play against.