diff --git a/src/backend/base/langflow/components/memories/AstraDBMessageReader.py b/src/backend/base/langflow/components/memories/AstraDBMessageReader.py
new file mode 100644
index 000000000..9b82dd308
--- /dev/null
+++ b/src/backend/base/langflow/components/memories/AstraDBMessageReader.py
@@ -0,0 +1,95 @@
+from typing import Optional, cast
+
+from langchain_astradb.chat_message_histories import AstraDBChatMessageHistory
+
+from langflow.base.memory.memory import BaseMemoryComponent
+from langflow.field_typing import Text
+from langflow.schema.schema import Record
+
+
+class AstraDBMessageReaderComponent(BaseMemoryComponent):
+    display_name = "Astra DB Message Reader"
+    description = "Retrieves stored chat messages from Astra DB."
+
+    def build_config(self):
+        return {
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+            "collection_name": {
+                "display_name": "Collection Name",
+                "info": "Collection name for Astra DB.",
+                "input_types": ["Text"],
+            },
+            "token": {
+                "display_name": "Astra DB Application Token",
+                "info": "Token for the Astra DB instance.",
+                "password": True,
+            },
+            "api_endpoint": {
+                "display_name": "Astra DB API Endpoint",
+                "info": "API Endpoint for the Astra DB instance.",
+                "password": True,
+            },
+            "namespace": {
+                "display_name": "Namespace",
+                "info": "Namespace for the Astra DB instance.",
+                "input_types": ["Text"],
+                "advanced": True,
+            },
+        }
+
+    def get_messages(self, **kwargs) -> list[Record]:
+        """
+        Retrieves messages from the AstraDBChatMessageHistory memory.
+
+        Args:
+            memory (AstraDBChatMessageHistory): The AstraDBChatMessageHistory instance to retrieve messages from.
+
+        Returns:
+            list[Record]: A list of Record objects representing the search results.
+        """
+        memory: AstraDBChatMessageHistory = cast(
+            AstraDBChatMessageHistory, kwargs.get("memory")
+        )
+        if not memory:
+            raise ValueError("AstraDBChatMessageHistory instance is required.")
+
+        # Get messages from the memory
+        messages = memory.messages
+        results = [Record.from_lc_message(message) for message in messages]
+
+        return list(results)
+
+    def build(
+        self,
+        session_id: Text,
+        collection_name: str,
+        token: str,
+        api_endpoint: str,
+        namespace: Optional[str] = None,
+    ) -> list[Record]:
+        try:
+            from langchain_community.chat_message_histories.astradb import (
+                AstraDBChatMessageHistory,
+            )
+        except ImportError:
+            raise ImportError(
+                "Could not import langchain Astra DB integration package. "
+                "Please install it with `pip install langchain-astradb`."
+            )
+
+        memory = AstraDBChatMessageHistory(
+            session_id=session_id,
+            collection_name=collection_name,
+            token=token,
+            api_endpoint=api_endpoint,
+            namespace=namespace,
+        )
+
+        records = self.get_messages(memory=memory)
+        self.status = records
+
+        return records
diff --git a/src/backend/base/langflow/components/memories/AstraDBMessageWriter.py b/src/backend/base/langflow/components/memories/AstraDBMessageWriter.py
new file mode 100644
index 000000000..33525656e
--- /dev/null
+++ b/src/backend/base/langflow/components/memories/AstraDBMessageWriter.py
@@ -0,0 +1,117 @@
+from typing import Optional
+
+from langflow.base.memory.memory import BaseMemoryComponent
+from langflow.field_typing import Text
+from langflow.schema.schema import Record
+
+from langchain_core.messages import BaseMessage
+from langchain_community.chat_message_histories.astradb import AstraDBChatMessageHistory
+
+
+class AstraDBMessageWriterComponent(BaseMemoryComponent):
+    display_name = "Astra DB Message Writer"
+    description = "Writes a message to Astra DB."
+
+    def build_config(self):
+        return {
+            "input_value": {
+                "display_name": "Input Record",
+                "info": "Record to write to Astra DB.",
+            },
+            "session_id": {
+                "display_name": "Session ID",
+                "info": "Session ID of the chat history.",
+                "input_types": ["Text"],
+            },
+            "collection_name": {
+                "display_name": "Collection Name",
+                "info": "Collection name for Astra DB.",
+                "input_types": ["Text"],
+            },
+            "token": {
+                "display_name": "Astra DB Application Token",
+                "info": "Token for the Astra DB instance.",
+                "password": True,
+            },
+            "api_endpoint": {
+                "display_name": "Astra DB API Endpoint",
+                "info": "API Endpoint for the Astra DB instance.",
+                "password": True,
+            },
+            "namespace": {
+                "display_name": "Namespace",
+                "info": "Namespace for the Astra DB instance.",
+                "input_types": ["Text"],
+                "advanced": True,
+            },
+        }
+
+    def add_message(
+        self,
+        sender: str,
+        sender_name: str,
+        text: Text,
+        session_id: str,
+        metadata: Optional[dict] = None,
+        **kwargs,
+    ):
+        """
+        Adds a message to the AstraDBChatMessageHistory memory.
+
+        Args:
+            sender (Text): The type of the message sender. Valid values are "Machine" or "User".
+            sender_name (Text): The name of the message sender.
+            text (Text): The content of the message.
+            session_id (Text): The session ID associated with the message.
+            metadata (dict | None, optional): Additional metadata for the message. Defaults to None.
+            **kwargs: Additional keyword arguments.
+
+        Raises:
+            ValueError: If the AstraDBChatMessageHistory instance is not provided.
+
+        """
+        memory: AstraDBChatMessageHistory | None = kwargs.pop("memory", None)
+        if memory is None:
+            raise ValueError("AstraDBChatMessageHistory instance is required.")
+
+        text_list = [BaseMessage(
+            content=text,
+            sender=sender,
+            sender_name=sender_name,
+            metadata=metadata,
+            session_id=session_id,
+        )]
+
+        memory.add_messages(text_list)
+
+    def build(
+        self,
+        input_value: Record,
+        session_id: Text,
+        collection_name: str,
+        token: str,
+        api_endpoint: str,
+        namespace: Optional[str] = None,
+    ) -> Record:
+        try:
+            from langchain_community.chat_message_histories.astradb import (
+                AstraDBChatMessageHistory,
+            )
+        except ImportError:
+            raise ImportError(
+                "Could not import langchain Astra DB integration package. "
+                "Please install it with `pip install langchain-astradb`."
+            )
+
+        memory = AstraDBChatMessageHistory(
+            session_id=session_id,
+            collection_name=collection_name,
+            token=token,
+            api_endpoint=api_endpoint,
+            namespace=namespace,
+        )
+
+        self.add_message(**input_value.data, memory=memory)
+        self.status = f"Added message to Astra DB memory for session {session_id}"
+
+        return input_value