diff --git a/pettingzoo/sisl/multiwalker/multiwalker.py b/pettingzoo/sisl/multiwalker/multiwalker.py
index 839b6152e..8edf250d1 100644
--- a/pettingzoo/sisl/multiwalker/multiwalker.py
+++ b/pettingzoo/sisl/multiwalker/multiwalker.py
@@ -160,6 +160,7 @@ def __init__(self, *args, **kwargs):
         # spaces
         self.action_spaces = dict(zip(self.agents, self.env.action_space))
         self.observation_spaces = dict(zip(self.agents, self.env.observation_space))
+        self.state_space = self.env.state_space
         self.steps = 0
 
     def observation_space(self, agent):
@@ -191,6 +192,9 @@ def close(self):
     def render(self):
         return self.env.render()
 
+    def state(self):
+        return self.env.state()
+
     def observe(self, agent):
         return self.env.observe(self.agent_name_mapping[agent])
 
diff --git a/pettingzoo/sisl/multiwalker/multiwalker_base.py b/pettingzoo/sisl/multiwalker/multiwalker_base.py
index 3da9a1260..476b3950c 100644
--- a/pettingzoo/sisl/multiwalker/multiwalker_base.py
+++ b/pettingzoo/sisl/multiwalker/multiwalker_base.py
@@ -360,6 +360,14 @@ def setup(self):
         ]
         self.observation_space = [agent.observation_space for agent in self.walkers]
         self.action_space = [agent.action_space for agent in self.walkers]
+        self.state_space = spaces.Box(
+            low=-np.float32(np.inf),
+            high=+np.float32(np.inf),
+            shape=(
+                self.n_walkers * 24 + 3,
+            ),  # 24 is the observation space of each walker, 3 is the package observation space
+            dtype=np.float32,
+        )
 
         self.package_scale = self.n_walkers / 1.75
         self.package_length = PACKAGE_LENGTH / SCALE * self.package_scale
@@ -545,6 +553,20 @@ def observe(self, agent):
         o = np.array(o, dtype=np.float32)
         return o
 
+    def state(self):
+        all_walker_obs = self.get_last_obs()
+        all_walker_obs = np.array(list(all_walker_obs.values())).flatten()
+        package_obs = np.array(
+            [
+                self.package.position.x,
+                self.package.position.y,
+                self.package.angle,
+            ]
+        )
+        global_state = np.concatenate((all_walker_obs, package_obs)).astype(np.float32)
+
+        return global_state
+
     def render(self, close=False):
         if close:
             self.close()