diff --git a/libs/langchain/langchain/memory/__init__.py b/libs/langchain/langchain/memory/__init__.py
index 4c28f618144..de669b47784 100644
--- a/libs/langchain/langchain/memory/__init__.py
+++ b/libs/langchain/langchain/memory/__init__.py
@@ -1,3 +1,4 @@
+"""Memory maintains Chain state, incorporating context from past runs."""
 from langchain.memory.buffer import (
     ConversationBufferMemory,
     ConversationStringBufferMemory,
diff --git a/libs/langchain/langchain/memory/buffer_window.py b/libs/langchain/langchain/memory/buffer_window.py
index 34d70f59d3f..af27f41d33e 100644
--- a/libs/langchain/langchain/memory/buffer_window.py
+++ b/libs/langchain/langchain/memory/buffer_window.py
@@ -5,12 +5,13 @@ from langchain.schema.messages import BaseMessage, get_buffer_string
 
 
 class ConversationBufferWindowMemory(BaseChatMemory):
-    """Buffer for storing conversation memory."""
+    """Buffer for storing conversation memory inside a limited size window."""
 
     human_prefix: str = "Human"
     ai_prefix: str = "AI"
     memory_key: str = "history"  #: :meta private:
     k: int = 5
+    """Number of messages to store in buffer."""
 
     @property
     def buffer(self) -> List[BaseMessage]:
diff --git a/libs/langchain/langchain/memory/chat_memory.py b/libs/langchain/langchain/memory/chat_memory.py
index 767f68d908e..e322c6ddb2d 100644
--- a/libs/langchain/langchain/memory/chat_memory.py
+++ b/libs/langchain/langchain/memory/chat_memory.py
@@ -9,6 +9,8 @@ from langchain.schema import BaseChatMessageHistory, BaseMemory
 
 
 class BaseChatMemory(BaseMemory, ABC):
+    """Abstract base class for chat memory."""
+
     chat_memory: BaseChatMessageHistory = Field(default_factory=ChatMessageHistory)
     output_key: Optional[str] = None
     input_key: Optional[str] = None
diff --git a/libs/langchain/langchain/memory/chat_message_histories/cosmos_db.py b/libs/langchain/langchain/memory/chat_message_histories/cosmos_db.py
index e1e5ad32612..819599e3517 100644
--- a/libs/langchain/langchain/memory/chat_message_histories/cosmos_db.py
+++ b/libs/langchain/langchain/memory/chat_message_histories/cosmos_db.py
@@ -17,7 +17,7 @@ if TYPE_CHECKING:
 
 
 class CosmosDBChatMessageHistory(BaseChatMessageHistory):
-    """Chat history backed by Azure CosmosDB."""
+    """Chat message history backed by Azure CosmosDB."""
 
     def __init__(
         self,
diff --git a/libs/langchain/langchain/memory/chat_message_histories/dynamodb.py b/libs/langchain/langchain/memory/chat_message_histories/dynamodb.py
index 219ca9844a3..38000175168 100644
--- a/libs/langchain/langchain/memory/chat_message_histories/dynamodb.py
+++ b/libs/langchain/langchain/memory/chat_message_histories/dynamodb.py
@@ -16,6 +16,7 @@ logger = logging.getLogger(__name__)
 
 class DynamoDBChatMessageHistory(BaseChatMessageHistory):
     """Chat message history that stores history in AWS DynamoDB.
+
     This class expects that a DynamoDB table with name `table_name`
     and a partition Key of `SessionId` is present.
 
diff --git a/libs/langchain/langchain/memory/chat_message_histories/firestore.py b/libs/langchain/langchain/memory/chat_message_histories/firestore.py
index fdfb4e56693..9e20a9ba965 100644
--- a/libs/langchain/langchain/memory/chat_message_histories/firestore.py
+++ b/libs/langchain/langchain/memory/chat_message_histories/firestore.py
@@ -16,7 +16,7 @@ if TYPE_CHECKING:
 
 
 class FirestoreChatMessageHistory(BaseChatMessageHistory):
-    """Chat history backed by Google Firestore."""
+    """Chat message history backed by Google Firestore."""
 
     def __init__(
         self,
diff --git a/libs/langchain/langchain/memory/chat_message_histories/momento.py b/libs/langchain/langchain/memory/chat_message_histories/momento.py
index 5fefc790ef3..448801db81b 100644
--- a/libs/langchain/langchain/memory/chat_message_histories/momento.py
+++ b/libs/langchain/langchain/memory/chat_message_histories/momento.py
@@ -36,6 +36,7 @@ def _ensure_cache_exists(cache_client: momento.CacheClient, cache_name: str) ->
 
 class MomentoChatMessageHistory(BaseChatMessageHistory):
     """Chat message history cache that uses Momento as a backend.
+
     See https://gomomento.com/"""
 
     def __init__(
diff --git a/libs/langchain/langchain/memory/chat_message_histories/sql.py b/libs/langchain/langchain/memory/chat_message_histories/sql.py
index 85baf037e52..43fedd531d2 100644
--- a/libs/langchain/langchain/memory/chat_message_histories/sql.py
+++ b/libs/langchain/langchain/memory/chat_message_histories/sql.py
@@ -21,6 +21,7 @@ logger = logging.getLogger(__name__)
 def create_message_model(table_name, DynamicBase):  # type: ignore
     """
     Create a message model for a given table name.
+
     Args:
         table_name: The name of the table to use.
         DynamicBase: The base class to use for the model.
diff --git a/libs/langchain/langchain/memory/chat_message_histories/zep.py b/libs/langchain/langchain/memory/chat_message_histories/zep.py
index e468369ac80..30983677bd4 100644
--- a/libs/langchain/langchain/memory/chat_message_histories/zep.py
+++ b/libs/langchain/langchain/memory/chat_message_histories/zep.py
@@ -20,7 +20,7 @@ logger = logging.getLogger(__name__)
 
 
 class ZepChatMessageHistory(BaseChatMessageHistory):
-    """A ChatMessageHistory implementation that uses Zep as a backend.
+    """Chat message history that uses Zep as a backend.
 
     Recommended usage::
 
diff --git a/libs/langchain/langchain/memory/combined.py b/libs/langchain/langchain/memory/combined.py
index a5cc1d4057d..1c46c184d46 100644
--- a/libs/langchain/langchain/memory/combined.py
+++ b/libs/langchain/langchain/memory/combined.py
@@ -8,7 +8,7 @@ from langchain.schema import BaseMemory
 
 
 class CombinedMemory(BaseMemory):
-    """Class for combining multiple memories' data together."""
+    """Combining multiple memories' data together."""
 
     memories: List[BaseMemory]
     """For tracking all the memories that should be accessed."""
diff --git a/libs/langchain/langchain/memory/entity.py b/libs/langchain/langchain/memory/entity.py
index 68be77a8dd9..54b9574b0dc 100644
--- a/libs/langchain/langchain/memory/entity.py
+++ b/libs/langchain/langchain/memory/entity.py
@@ -21,6 +21,8 @@ logger = logging.getLogger(__name__)
 
 
 class BaseEntityStore(BaseModel, ABC):
+    """Abstract base class for Entity store."""
+
     @abstractmethod
     def get(self, key: str, default: Optional[str] = None) -> Optional[str]:
         """Get entity value from store."""
@@ -48,7 +50,7 @@ class BaseEntityStore(BaseModel, ABC):
 
 
 class InMemoryEntityStore(BaseEntityStore):
-    """Basic in-memory entity store."""
+    """In-memory Entity store."""
 
     store: Dict[str, Optional[str]] = {}
 
@@ -69,7 +71,9 @@ class InMemoryEntityStore(BaseEntityStore):
 
 
 class RedisEntityStore(BaseEntityStore):
-    """Redis-backed Entity store. Entities get a TTL of 1 day by default, and
+    """Redis-backed Entity store.
+
+    Entities get a TTL of 1 day by default, and
     that TTL is extended by 3 days every time the entity is read back.
     """
 
@@ -245,7 +249,7 @@ class ConversationEntityMemory(BaseChatMemory):
     """Entity extractor & summarizer memory.
 
     Extracts named entities from the recent chat history and generates summaries.
-    With a swapable entity store, persisting entities across conversations.
+    With a swappable entity store, persisting entities across conversations.
     Defaults to an in-memory entity store, and can be swapped out for a Redis,
     SQLite, or other entity store.
     """
diff --git a/libs/langchain/langchain/memory/kg.py b/libs/langchain/langchain/memory/kg.py
index dc1019fc12d..400ed34987a 100644
--- a/libs/langchain/langchain/memory/kg.py
+++ b/libs/langchain/langchain/memory/kg.py
@@ -17,7 +17,7 @@ from langchain.schema.messages import BaseMessage, SystemMessage, get_buffer_str
 
 
 class ConversationKGMemory(BaseChatMemory):
-    """Knowledge graph memory for storing conversation memory.
+    """Knowledge graph conversation memory.
 
     Integrates with external knowledge graph to store and retrieve
     information about knowledge triples in the conversation.
diff --git a/libs/langchain/langchain/memory/motorhead_memory.py b/libs/langchain/langchain/memory/motorhead_memory.py
index f84ebe0f1f0..30dfbb7cea9 100644
--- a/libs/langchain/langchain/memory/motorhead_memory.py
+++ b/libs/langchain/langchain/memory/motorhead_memory.py
@@ -10,6 +10,8 @@ MANAGED_URL = "https://api.getmetal.io/v1/motorhead"
 
 
 class MotorheadMemory(BaseChatMemory):
+    """Chat message memory backed by Motorhead service."""
+
     url: str = MANAGED_URL
     timeout = 3000
     memory_key = "history"
diff --git a/libs/langchain/langchain/memory/simple.py b/libs/langchain/langchain/memory/simple.py
index c30f70240da..00caa9d5b29 100644
--- a/libs/langchain/langchain/memory/simple.py
+++ b/libs/langchain/langchain/memory/simple.py
@@ -4,7 +4,7 @@ from langchain.schema import BaseMemory
 
 
 class SimpleMemory(BaseMemory):
-    """Simple memory for storing context or other bits of information that shouldn't
+    """Simple memory for storing context or other information that shouldn't
     ever change between prompts.
     """
 
diff --git a/libs/langchain/langchain/memory/summary.py b/libs/langchain/langchain/memory/summary.py
index 449a4361fed..afa0f9c8ef6 100644
--- a/libs/langchain/langchain/memory/summary.py
+++ b/libs/langchain/langchain/memory/summary.py
@@ -16,6 +16,8 @@ from langchain.schema.messages import BaseMessage, SystemMessage, get_buffer_str
 
 
 class SummarizerMixin(BaseModel):
+    """Mixin for summarizer."""
+
     human_prefix: str = "Human"
     ai_prefix: str = "AI"
     llm: BaseLanguageModel
@@ -36,7 +38,7 @@ class SummarizerMixin(BaseModel):
 
 
 class ConversationSummaryMemory(BaseChatMemory, SummarizerMixin):
-    """Conversation summarizer to memory."""
+    """Conversation summarizer to chat memory."""
 
     buffer: str = ""
     memory_key: str = "history"  #: :meta private:
diff --git a/libs/langchain/langchain/memory/token_buffer.py b/libs/langchain/langchain/memory/token_buffer.py
index 80f76c3b76f..a964f2f6b44 100644
--- a/libs/langchain/langchain/memory/token_buffer.py
+++ b/libs/langchain/langchain/memory/token_buffer.py
@@ -6,7 +6,7 @@ from langchain.schema.messages import BaseMessage, get_buffer_string
 
 
 class ConversationTokenBufferMemory(BaseChatMemory):
-    """Buffer for storing conversation memory."""
+    """Conversation chat memory with token limit."""
 
     human_prefix: str = "Human"
     ai_prefix: str = "AI"
diff --git a/libs/langchain/langchain/memory/vectorstore.py b/libs/langchain/langchain/memory/vectorstore.py
index 7c6772fda6f..41f0d8c6719 100644
--- a/libs/langchain/langchain/memory/vectorstore.py
+++ b/libs/langchain/langchain/memory/vectorstore.py
@@ -11,7 +11,7 @@ from langchain.vectorstores.base import VectorStoreRetriever
 
 
 class VectorStoreRetrieverMemory(BaseMemory):
-    """Class for a VectorStore-backed memory object."""
+    """VectorStoreRetriever-backed memory."""
 
     retriever: VectorStoreRetriever = Field(exclude=True)
     """VectorStoreRetriever object to connect to."""
diff --git a/libs/langchain/langchain/memory/zep_memory.py b/libs/langchain/langchain/memory/zep_memory.py
index 8e56eb47737..6e2a7ec823b 100644
--- a/libs/langchain/langchain/memory/zep_memory.py
+++ b/libs/langchain/langchain/memory/zep_memory.py
@@ -7,7 +7,7 @@ from langchain.memory.chat_message_histories import ZepChatMessageHistory
 
 
 class ZepMemory(ConversationBufferMemory):
-    """Persist your chain history to the Zep Long-term Memory Server
+    """Persist your chain history to the Zep Memory Server.
 
     The number of messages returned by Zep and when the Zep server summarizes chat
     histories is configurable. See the Zep documentation for more details.
diff --git a/libs/langchain/langchain/schema/memory.py b/libs/langchain/langchain/schema/memory.py
index 14a07bb379d..46da7504b2a 100644
--- a/libs/langchain/langchain/schema/memory.py
+++ b/libs/langchain/langchain/schema/memory.py
@@ -8,7 +8,7 @@ from langchain.schema.messages import AIMessage, BaseMessage, HumanMessage
 
 
 class BaseMemory(Serializable, ABC):
-    """Base abstract class for memory in Chains.
+    """Abstract base class for memory in Chains.
 
     Memory refers to state in Chains. Memory can be used to store information about
         past executions of a Chain and inject that information into the inputs of