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diff --git a/ai_evo/config.py b/ai_evo/config.py
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--- a/ai_evo/config.py
+++ b/ai_evo/config.py
@@ -1,5 +1,48 @@
 import numpy as np
 
+class Config:
+    """Configuration class for the AI Animal Evolution Environment."""
+    
+    def __init__(self, **kwargs):
+        # World parameters
+        self.width = kwargs.get('width', 100)
+        self.height = kwargs.get('height', 100)
+        self.seed = kwargs.get('seed', 42)
+        
+        # Simulation parameters
+        self.max_steps = kwargs.get('max_steps', 1000)
+        self.snapshot_every = kwargs.get('snapshot_every', 50)
+        
+        # Population parameters
+        self.init_herbivores = kwargs.get('init_herbivores', 50)
+        self.init_carnivores = kwargs.get('init_carnivores', 25)
+        
+        # Energy parameters
+        self.min_energy = kwargs.get('min_energy', 0.0)
+        self.max_energy = kwargs.get('max_energy', 150.0)
+        
+        # Environment parameters
+        self.plant_growth_rate = kwargs.get('plant_growth_rate', 0.1)
+        self.plant_cap = kwargs.get('plant_cap', 10.0)
+        
+        # Feeding parameters
+        self.herbivore_bite_cap = kwargs.get('herbivore_bite_cap', 3.0)
+        self.carnivore_gain_eff = kwargs.get('carnivore_gain_eff', 0.8)
+        
+        # Movement parameters
+        self.move_cost_base = kwargs.get('move_cost_base', 0.1)
+        
+        # Reproduction parameters
+        self.reproduce_cost_frac = kwargs.get('reproduce_cost_frac', 0.5)
+        
+        # Evolution parameters
+        self.mutation_rate = kwargs.get('mutation_rate', 0.1)
+        self.mutation_strength = kwargs.get('mutation_strength', 0.1)
+        self.perception_max = kwargs.get('perception_max', 5.0)
+        
+        # Spatial hash parameters
+        self.grid_cell = kwargs.get('grid_cell', 10.0)
+
 class RNG:
     """Central deterministic RNG wrapper."""
     def __init__(self, seed: int):