From 06f311fffb8d6d327545f897d392a8d55b0521b7 Mon Sep 17 00:00:00 2001
From: Hunter Lovell <40191806+hntrl@users.noreply.github.com>
Date: Mon, 14 Jul 2025 09:51:18 -0700
Subject: [PATCH] chore: add forum to readme (#5488)

* chore: add forum to readme

* chore(langgraph): sync readme
---
 README.md                | 1 +
 libs/langgraph/README.md | 1 +
 2 files changed, 2 insertions(+)

diff --git a/README.md b/README.md
index ec9967659..26550f5b4 100644
--- a/README.md
+++ b/README.md
@@ -74,6 +74,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 - [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
 - [Examples](https://langchain-ai.github.io/langgraph/tutorials/overview/): Guided examples on getting started with LangGraph.
+- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
 - [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
 - [Templates](https://langchain-ai.github.io/langgraph/concepts/template_applications/): Pre-built reference apps for common agentic workflows (e.g. ReAct agent, memory, retrieval etc.) that can be cloned and adapted.
 - [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md
index ec9967659..26550f5b4 100644
--- a/libs/langgraph/README.md
+++ b/libs/langgraph/README.md
@@ -74,6 +74,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 - [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
 - [Examples](https://langchain-ai.github.io/langgraph/tutorials/overview/): Guided examples on getting started with LangGraph.
+- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
 - [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
 - [Templates](https://langchain-ai.github.io/langgraph/concepts/template_applications/): Pre-built reference apps for common agentic workflows (e.g. ReAct agent, memory, retrieval etc.) that can be cloned and adapted.
 - [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.