diff --git a/src/crewai/agents/executor.py b/src/crewai/agents/executor.py
index f70888a39..dab080d3a 100644
--- a/src/crewai/agents/executor.py
+++ b/src/crewai/agents/executor.py
@@ -68,7 +68,10 @@ class CrewAgentExecutor(AgentExecutor):
                     return self._return(
                         next_step_output, intermediate_steps, run_manager=run_manager
                     )
-                self.step_callback(next_step_output)
+
+                if self.step_callback:
+                    self.step_callback(next_step_output)
+
                 intermediate_steps.extend(next_step_output)
                 if len(next_step_output) == 1:
                     next_step_action = next_step_output[0]
diff --git a/tests/agent_test.py b/tests/agent_test.py
index 7cf42f8b2..7b7675f30 100644
--- a/tests/agent_test.py
+++ b/tests/agent_test.py
@@ -378,8 +378,6 @@ def test_agent_without_max_rpm_respet_crew_rpm(capsys):
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_agent_use_specific_tasks_output_as_context(capsys):
-    pass
-
     agent1 = Agent(role="test role", goal="test goal", backstory="test backstory")
 
     agent2 = Agent(role="test role2", goal="test goal2", backstory="test backstory2")
@@ -398,3 +396,36 @@ def test_agent_use_specific_tasks_output_as_context(capsys):
     result = crew.kickoff()
     assert "bye" not in result.lower()
     assert "hi" in result.lower() or "hello" in result.lower()
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_agent_step_callback():
+    class StepCallback:
+        def callback(self, step):
+            print(step)
+
+    with patch.object(StepCallback, "callback") as callback:
+
+        @tool
+        def learn_about_AI(topic) -> float:
+            """Useful for when you need to learn about AI to write an paragraph about it."""
+            return "AI is a very broad field."
+
+        agent1 = Agent(
+            role="test role",
+            goal="test goal",
+            backstory="test backstory",
+            tools=[learn_about_AI],
+            step_callback=StepCallback().callback,
+        )
+
+        essay = Task(
+            description="Write and then review an small paragraph on AI until it's AMAZING",
+            agent=agent1,
+        )
+        tasks = [essay]
+        crew = Crew(agents=[agent1], tasks=tasks)
+
+        callback.return_value = "ok"
+        crew.kickoff()
+        callback.assert_called_once()
diff --git a/tests/cassettes/test_agent_step_callback.yaml b/tests/cassettes/test_agent_step_callback.yaml
new file mode 100644
index 000000000..28ec99381
--- /dev/null
+++ b/tests/cassettes/test_agent_step_callback.yaml
@@ -0,0 +1,490 @@
+interactions:
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+      tools:\n\nlearn_about_AI: learn_about_AI(topic) -> float - Useful for when you
+      need to learn about AI to write an paragraph about it.\nDelegate work to co-worker:
+      Useful to delegate a specific task to one of the following co-workers: .\nThe
+      input to this tool should be a pipe (|) separated text of length 3 (three),
+      representing the co-worker you want to ask it to (one of the options), the task
+      and all actual context you have for the task.\nFor example, `coworker|task|context`.\nAsk
+      question to co-worker: Useful to ask a question, opinion or take from on of
+      the following co-workers: .\nThe input to this tool should be a pipe (|) separated
+      text of length 3 (three), representing the co-worker you want to ask it to (one
+      of the options), the question and all actual context you have for the question.\n
+      For example, `coworker|question|context`.\n\nTo use a tool, please use the exact
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+      Ask question to co-worker], just the name.\nAction Input: the input to the action\nObservation:
+      the result of the action\n```\n\nWhen you have a response for your task, or
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+      Do I need to use a tool? No\nFinal Answer: [your response here]```This is the
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+      depends on it!\n\nCurrent Task: Write and then review an small paragraph on
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