diff --git a/src/backend/base/langflow/components/agents/SequentialTaskAgent.py b/src/backend/base/langflow/components/agents/SequentialTaskAgent.py
new file mode 100644
index 000000000000..58062508c44e
--- /dev/null
+++ b/src/backend/base/langflow/components/agents/SequentialTaskAgent.py
@@ -0,0 +1,141 @@
+from crewai import Agent, Task
+
+from langflow.base.agents.crewai.tasks import SequentialTask
+from langflow.custom import Component
+from langflow.io import BoolInput, DictInput, HandleInput, MultilineInput, Output
+
+
+class SequentialTaskAgentComponent(Component):
+    display_name = "Sequential Task Agent"
+    description = "Creates a CrewAI Task and its associated Agent."
+    documentation = "https://docs.crewai.com/how-to/LLM-Connections/"
+    icon = "CrewAI"
+
+    inputs = [
+        # Agent inputs
+        MultilineInput(name="role", display_name="Role", info="The role of the agent."),
+        MultilineInput(name="goal", display_name="Goal", info="The objective of the agent."),
+        MultilineInput(
+            name="backstory",
+            display_name="Backstory",
+            info="The backstory of the agent.",
+        ),
+        HandleInput(
+            name="tools",
+            display_name="Tools",
+            input_types=["Tool"],
+            is_list=True,
+            info="Tools at agent's disposal",
+            value=[],
+        ),
+        HandleInput(
+            name="llm",
+            display_name="Language Model",
+            info="Language model that will run the agent.",
+            input_types=["LanguageModel"],
+        ),
+        BoolInput(
+            name="memory",
+            display_name="Memory",
+            info="Whether the agent should have memory or not",
+            advanced=True,
+            value=True,
+        ),
+        BoolInput(
+            name="verbose",
+            display_name="Verbose",
+            advanced=True,
+            value=True,
+        ),
+        BoolInput(
+            name="allow_delegation",
+            display_name="Allow Delegation",
+            info="Whether the agent is allowed to delegate tasks to other agents.",
+            value=False,
+            advanced=True,
+        ),
+        BoolInput(
+            name="allow_code_execution",
+            display_name="Allow Code Execution",
+            info="Whether the agent is allowed to execute code.",
+            value=False,
+            advanced=True,
+        ),
+        DictInput(
+            name="agent_kwargs",
+            display_name="Agent kwargs",
+            info="Additional kwargs for the agent.",
+            is_list=True,
+            advanced=True,
+        ),
+        # Task inputs
+        MultilineInput(
+            name="task_description",
+            display_name="Task Description",
+            info="Descriptive text detailing task's purpose and execution.",
+        ),
+        MultilineInput(
+            name="expected_output",
+            display_name="Expected Task Output",
+            info="Clear definition of expected task outcome.",
+        ),
+        BoolInput(
+            name="async_execution",
+            display_name="Async Execution",
+            value=False,
+            advanced=True,
+            info="Boolean flag indicating asynchronous task execution.",
+        ),
+        # Chaining input
+        HandleInput(
+            name="previous_task",
+            display_name="Previous Task",
+            input_types=["SequentialTask"],
+            info="The previous task in the sequence (for chaining).",
+            required=False,
+        ),
+    ]
+
+    outputs = [
+        Output(
+            display_name="Sequential Task",
+            name="task_output",
+            method="build_agent_and_task",
+        ),
+    ]
+
+    def build_agent_and_task(self) -> list[SequentialTask]:
+        # Build the agent
+        agent_kwargs = self.agent_kwargs or {}
+        agent = Agent(
+            role=self.role,
+            goal=self.goal,
+            backstory=self.backstory,
+            llm=self.llm,
+            verbose=self.verbose,
+            memory=self.memory,
+            tools=self.tools if self.tools else [],
+            allow_delegation=self.allow_delegation,
+            allow_code_execution=self.allow_code_execution,
+            **agent_kwargs,
+        )
+
+        # Build the task
+        task = Task(
+            description=self.task_description,
+            expected_output=self.expected_output,
+            agent=agent,
+            async_execution=self.async_execution,
+        )
+
+        # If there's a previous task, create a list of tasks
+        if self.previous_task:
+            if isinstance(self.previous_task, list):
+                tasks = self.previous_task + [task]
+            else:
+                tasks = [self.previous_task, task]
+        else:
+            tasks = [task]
+
+        self.status = f"Agent: {repr(agent)}\nTask: {repr(task)}"
+        return tasks