diff --git a/lib/crewai/src/crewai/agent/core.py b/lib/crewai/src/crewai/agent/core.py
index 597b69dc9..b83752344 100644
--- a/lib/crewai/src/crewai/agent/core.py
+++ b/lib/crewai/src/crewai/agent/core.py
@@ -84,6 +84,7 @@ from crewai.rag.embeddings.types import EmbedderConfig
 from crewai.security.fingerprint import Fingerprint
 from crewai.skills.loader import activate_skill, discover_skills
 from crewai.skills.models import INSTRUCTIONS, Skill as SkillModel
+from crewai.state.checkpoint_config import CheckpointConfig, apply_checkpoint
 from crewai.tools.agent_tools.agent_tools import AgentTools
 from crewai.types.callback import SerializableCallable
 from crewai.utilities.agent_utils import (
@@ -1457,6 +1458,7 @@ class Agent(BaseAgent):
         messages: str | list[LLMMessage],
         response_format: type[Any] | None = None,
         input_files: dict[str, FileInput] | None = None,
+        from_checkpoint: CheckpointConfig | None = None,
     ) -> LiteAgentOutput | Coroutine[Any, Any, LiteAgentOutput]:
         """Execute the agent with the given messages using the AgentExecutor.
 
@@ -1475,6 +1477,9 @@ class Agent(BaseAgent):
             response_format: Optional Pydantic model for structured output.
             input_files: Optional dict of named files to attach to the message.
                    Files can be paths, bytes, or File objects from crewai_files.
+            from_checkpoint: Optional checkpoint config. If ``restore_from``
+                is set, the agent resumes from that checkpoint. Remaining
+                config fields enable checkpointing for the run.
 
         Returns:
             LiteAgentOutput: The result of the agent execution.
@@ -1483,6 +1488,14 @@ class Agent(BaseAgent):
         Note:
             For explicit async usage outside of Flow, use kickoff_async() directly.
         """
+        restored = apply_checkpoint(self, from_checkpoint)
+        if restored is not None:
+            return restored.kickoff(  # type: ignore[no-any-return]
+                messages=messages,
+                response_format=response_format,
+                input_files=input_files,
+            )
+
         if is_inside_event_loop():
             return self.kickoff_async(messages, response_format, input_files)
 
@@ -1760,6 +1773,7 @@ class Agent(BaseAgent):
         messages: str | list[LLMMessage],
         response_format: type[Any] | None = None,
         input_files: dict[str, FileInput] | None = None,
+        from_checkpoint: CheckpointConfig | None = None,
     ) -> LiteAgentOutput:
         """Execute the agent asynchronously with the given messages.
 
@@ -1775,10 +1789,20 @@ class Agent(BaseAgent):
             response_format: Optional Pydantic model for structured output.
             input_files: Optional dict of named files to attach to the message.
                    Files can be paths, bytes, or File objects from crewai_files.
+            from_checkpoint: Optional checkpoint config. If ``restore_from``
+                is set, the agent resumes from that checkpoint.
 
         Returns:
             LiteAgentOutput: The result of the agent execution.
         """
+        restored = apply_checkpoint(self, from_checkpoint)
+        if restored is not None:
+            return await restored.kickoff_async(  # type: ignore[no-any-return]
+                messages=messages,
+                response_format=response_format,
+                input_files=input_files,
+            )
+
         executor, inputs, agent_info, parsed_tools = self._prepare_kickoff(
             messages, response_format, input_files
         )
@@ -1808,6 +1832,7 @@ class Agent(BaseAgent):
         messages: str | list[LLMMessage],
         response_format: type[Any] | None = None,
         input_files: dict[str, FileInput] | None = None,
+        from_checkpoint: CheckpointConfig | None = None,
     ) -> LiteAgentOutput:
         """Async version of kickoff. Alias for kickoff_async.
 
@@ -1815,8 +1840,12 @@ class Agent(BaseAgent):
             messages: Either a string query or a list of message dictionaries.
             response_format: Optional Pydantic model for structured output.
             input_files: Optional dict of named files to attach to the message.
+            from_checkpoint: Optional checkpoint config. If ``restore_from``
+                is set, the agent resumes from that checkpoint.
 
         Returns:
             LiteAgentOutput: The result of the agent execution.
         """
-        return await self.kickoff_async(messages, response_format, input_files)
+        return await self.kickoff_async(
+            messages, response_format, input_files, from_checkpoint
+        )
diff --git a/lib/crewai/tests/test_checkpoint.py b/lib/crewai/tests/test_checkpoint.py
index f645541a4..b1ad9e2df 100644
--- a/lib/crewai/tests/test_checkpoint.py
+++ b/lib/crewai/tests/test_checkpoint.py
@@ -523,6 +523,31 @@ class TestKickoffFromCheckpoint:
         assert isinstance(crew.checkpoint, CheckpointConfig)
         assert crew.checkpoint.on_events == ["task_completed"]
 
+    def test_agent_kickoff_delegates_to_from_checkpoint(self) -> None:
+        mock_restored = MagicMock(spec=Agent)
+        mock_restored.kickoff.return_value = "agent_result"
+
+        cfg = CheckpointConfig(restore_from="/path/to/agent_cp.json")
+        with patch.object(Agent, "from_checkpoint", return_value=mock_restored):
+            agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
+            result = agent.kickoff(messages="hello", from_checkpoint=cfg)
+
+        mock_restored.kickoff.assert_called_once_with(
+            messages="hello", response_format=None, input_files=None
+        )
+        assert mock_restored.checkpoint.restore_from is None
+        assert result == "agent_result"
+
+    def test_agent_kickoff_config_only_sets_checkpoint(self) -> None:
+        cfg = CheckpointConfig(on_events=["lite_agent_execution_completed"])
+        agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
+        assert agent.checkpoint is None
+        with patch.object(Agent, "_prepare_kickoff", side_effect=RuntimeError("stop")):
+            with pytest.raises(RuntimeError, match="stop"):
+                agent.kickoff(messages="hello", from_checkpoint=cfg)
+        assert isinstance(agent.checkpoint, CheckpointConfig)
+        assert agent.checkpoint.on_events == ["lite_agent_execution_completed"]
+
     def test_flow_kickoff_delegates_to_from_checkpoint(self) -> None:
         mock_restored = MagicMock(spec=Flow)
         mock_restored.kickoff.return_value = "flow_result"