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Mewgenics is a turn-based tactical roguelike that integrates combat systems with long-term genetic management mechanics. The game is designed around a cyclical structure where players control a clowder of cats, assemble active teams, and progress through procedurally generated encounters. Unlike traditional role-playing games, progression is not solely defined by character leveling but by inherited traits, mutations, and conditions that persist across generations. This framework connects short-term tactical decisions with broader strategic planning.
The primary gameplay loop alternates between tactical missions and clowder management. During missions, players guide a team of cats through grid-based battlefields populated by hostile entities. Each cat operates within a class-based system that determines available abilities, movement options, and combat roles. Positioning, turn order, and ability selection form the basis of encounter resolution. Environmental factors such as terrain layout and situational modifiers influence battle conditions.
Between missions, players manage resources, equipment, and breeding decisions. This layer introduces long-term planning elements that directly affect future runs. Instead of resetting entirely after defeat, the game maintains continuity through inherited mechanics.
Combat encounters are structured around turn-based mechanics where movement and action selection occur on a grid. Cats possess class-specific skills and passive effects that shape their function within the team. Enemy behavior patterns require players to analyze positioning and anticipate threats. Map design emphasizes spatial decision-making rather than reflex-based input.
Core gameplay elements include:
These systems reinforce strategic planning across each encounter.
A defining component of Mewgenics is its generational progression model. Cats accumulate traits, mutations, diseases, and other conditions that can be inherited by offspring. Breeding decisions therefore become central to long-term optimization. Players must evaluate beneficial traits alongside potential disadvantages introduced by genetic variability. This structure links combat outcomes with future team composition.
Genetic inheritance affects statistics, abilities, and survivability, creating a layered progression system where improvement emerges from selection and adaptation rather than linear upgrades.
The progression model is built around repetition and system mastery. Each run generates new encounters, resource distributions, and trait combinations. Success depends on understanding combat mechanics, managing risk through breeding, and refining team configurations. The replay loop encourages iterative experimentation, where accumulated knowledge influences both tactical execution and long-term strategic planning.