feat: adding memory

src/backend/langflow/interface/custom_lists.py

@@ -6,15 +6,8 @@ from langchain.agents import agent_toolkits
 from langchain.chat_models import ChatOpenAI
 
 ## Memory
-# from langchain.memory.buffer_window import ConversationBufferWindowMemory
-# from langchain.memory.chat_memory import ChatMessageHistory
-# from langchain.memory.combined import CombinedMemory
-# from langchain.memory.entity import ConversationEntityMemory
-# from langchain.memory.kg import ConversationKGMemory
-# from langchain.memory.readonly import ReadOnlySharedMemory
-# from langchain.memory.simple import SimpleMemory
-# from langchain.memory.summary import ConversationSummaryMemory
-# from langchain.memory.summary_buffer import ConversationSummaryBufferMemory
+from langchain import memory
+
 ## Document Loaders
 from langchain.document_loaders import (
     AirbyteJSONLoader,
@@ -104,23 +97,6 @@ llm_type_to_cls_dict = llms.type_to_cls_dict
 llm_type_to_cls_dict["openai-chat"] = ChatOpenAI  # type: ignore
 
 
-## Memory
-
-memory_type_to_cls_dict: dict[str, Any] = {
-    # "CombinedMemory": CombinedMemory,
-    # "ConversationBufferWindowMemory": ConversationBufferWindowMemory,
-    # "ConversationBufferMemory": ConversationBufferMemory,
-    # "SimpleMemory": SimpleMemory,
-    # "ConversationSummaryBufferMemory": ConversationSummaryBufferMemory,
-    # "ConversationKGMemory": ConversationKGMemory,
-    # "ConversationEntityMemory": ConversationEntityMemory,
-    # "ConversationSummaryMemory": ConversationSummaryMemory,
-    # "ChatMessageHistory": ChatMessageHistory,
-    # "ConversationStringBufferMemory": ConversationStringBufferMemory,
-    # "ReadOnlySharedMemory": ReadOnlySharedMemory,
-}
-
-
 ## Chain
 # from langchain.chains.loading import type_to_loader_dict
 # from langchain.chains.conversation.base import ConversationChain
@@ -142,6 +118,14 @@ toolkit_type_to_cls_dict: dict[str, Any] = {
     if not toolkit_name.islower()
 }
 
+## Memory
+
+
+memory_type_to_cls_dict: dict[str, Any] = {
+    memory_name: import_class(f"langchain.memory.{memory_name}")
+    for memory_name in memory.__all__
+}
+
 
 wrapper_type_to_cls_dict: dict[str, Any] = {
     wrapper.__name__: wrapper for wrapper in [requests.RequestsWrapper]

src/backend/langflow/interface/importing/utils.py

@@ -36,10 +36,16 @@ def import_by_type(_type: str, name: str) -> Any:
         "chains": import_chain,
         "toolkits": import_toolkit,
         "wrappers": import_wrapper,
+        "memory": import_memory,
     }
     return func_dict[_type](name)
 
 
+def import_memory(memory: str) -> Any:
+    """Import memory from memory name"""
+    return import_module(f"from langchain.memory import {memory}")
+
+
 def import_class(class_path: str) -> Any:
     """Import class from class path"""
     module_path, class_name = class_path.rsplit(".", 1)