diff --git a/libs/langchain/langchain/memory/vectorstore.py b/libs/langchain/langchain/memory/vectorstore.py
index 3f4430ee7cf..b288ef57d84 100644
--- a/libs/langchain/langchain/memory/vectorstore.py
+++ b/libs/langchain/langchain/memory/vectorstore.py
@@ -39,6 +39,16 @@ class VectorStoreRetrieverMemory(BaseMemory):
             return get_prompt_input_key(inputs, self.memory_variables)
         return self.input_key
 
+    def _documents_to_memory_variables(
+        self, docs: List[Document]
+    ) -> Dict[str, Union[List[Document], str]]:
+        result: Union[List[Document], str]
+        if not self.return_docs:
+            result = "\n".join([doc.page_content for doc in docs])
+        else:
+            result = docs
+        return {self.memory_key: result}
+
     def load_memory_variables(
         self, inputs: Dict[str, Any]
     ) -> Dict[str, Union[List[Document], str]]:
@@ -46,12 +56,16 @@ class VectorStoreRetrieverMemory(BaseMemory):
         input_key = self._get_prompt_input_key(inputs)
         query = inputs[input_key]
         docs = self.retriever.get_relevant_documents(query)
-        result: Union[List[Document], str]
-        if not self.return_docs:
-            result = "\n".join([doc.page_content for doc in docs])
-        else:
-            result = docs
-        return {self.memory_key: result}
+        return self._documents_to_memory_variables(docs)
+
+    async def aload_memory_variables(
+        self, inputs: Dict[str, Any]
+    ) -> Dict[str, Union[List[Document], str]]:
+        """Return history buffer."""
+        input_key = self._get_prompt_input_key(inputs)
+        query = inputs[input_key]
+        docs = await self.retriever.aget_relevant_documents(query)
+        return self._documents_to_memory_variables(docs)
 
     def _form_documents(
         self, inputs: Dict[str, Any], outputs: Dict[str, str]
@@ -73,5 +87,15 @@ class VectorStoreRetrieverMemory(BaseMemory):
         documents = self._form_documents(inputs, outputs)
         self.retriever.add_documents(documents)
 
+    async def asave_context(
+        self, inputs: Dict[str, Any], outputs: Dict[str, str]
+    ) -> None:
+        """Save context from this conversation to buffer."""
+        documents = self._form_documents(inputs, outputs)
+        await self.retriever.aadd_documents(documents)
+
     def clear(self) -> None:
         """Nothing to clear."""
+
+    async def aclear(self) -> None:
+        """Nothing to clear."""