From ce5f248e3bb1d5d7d54be1c8d0c2eb0cbbaddcdb Mon Sep 17 00:00:00 2001
From: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
Date: Wed, 28 May 2025 09:35:17 -0400
Subject: [PATCH] docs: fix typo (#4852)

minor fix
---
 docs/docs/agents/memory.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/docs/agents/memory.md b/docs/docs/agents/memory.md
index 716e32b62..518341703 100644
--- a/docs/docs/agents/memory.md
+++ b/docs/docs/agents/memory.md
@@ -82,7 +82,7 @@ ny_response = agent.invoke(
 ```
 
 1. The `InMemorySaver` is a checkpointer that stores the agent's state in memory. In a production setting, you would typically use a database or other persistent storage. Please review the [checkpointer documentation](../reference/checkpoints.md) for more options. If you're deploying with **LangGraph Platform**, the platform will provide a production-ready checkpointer for you.
-2. The `checkpointer` is passed to the agent. This enables the agent to persist its state across invocations. Please note that 
+2. The `checkpointer` is passed to the agent. This enables the agent to persist its state across invocations.
 3. A unique `thread_id` is provided in the config. This ID is used to identify the conversation session. The value is controlled by the user and can be any string.
 4. The agent will continue the conversation using the same `thread_id`. This will allow the agent to infer that the user is asking specifically about the **weather** in New York.