Embark on an enigmatic journey in Astral Throne, a captivating blend of retro-style turn-based strategy and roguelike adventure. Navigate a once-prosperous land cloaked in a memory-stealing fog from a fallen star.
Fight through a series of tightly designed hand-crafted combat encounters while building a formidable army through Roguelite-style level-ups and loot. Synergize your party’s classes, equipment, weapons, and skills in various ways - all while experiencing a mysterious story that changes depending on who you recruit and choices you make.
⚔ It's like a pocket-sized SRPG campaign every run ⚔
Astral Throne is a unique blend of Roguelike, Strategy, and RPG
Strategize around weapon and magic triangles, stat and experience distribution, and permadeath
Encounters are handcrafted to retain the tight design of a strategic experience
However, there are pockets of variance through enemy loadouts, recruitable characters, loot, and the layout of an ever-changing overworld
Small choices can butterfly-effect to vastly different outcomes every run
Flexibly customize your party, which will differ between runs
Build each character through loot and level-ups
Synergize your builds with hundreds of skills, weapons, items, and over a dozen classes
Affect the mechanics of your entire team through dozens of collectable memories
Choose your path through a procedurally generated overworld map featuring mini bosses, shops, duel arenas, and more
Unlock and recruit characters, heroes, and leaders that offer diverse experiences
Replay with a multitude of difficulty modifiers that put your skills to the test
Menus are snappy and responsive, and a deep tooltipsystem offers extensive clarity of information
Explore a once-prosperous realm shrouded in memory-stealing Stardust
Each hero has unique character traits and stories that blend to create a compelling world
The story of each run changes depending on who you've recruited into your party
Experience over a hundred story branches and two dozen unique endings
Reveal the truth of a mysterious plot over the course of multiple runs
