docs: update README (#822)

README.md

@@ -21,10 +21,7 @@ LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [A
 
 ### Why use LangGraph?
 
-LangGraph provides fine-grained control over both the flow and state of your
-agent applications. It implements a central
-[persistence layer](https://langchain-ai.github.io/langgraphjs/concepts/persistence/),
-enabling features that are common to most agent architectures:
+**LangGraph powers production-grade agents, trusted by Linkedin, Uber, Klarna, GitLab, and many more**. LangGraph provides fine-grained control over both the flow and state of your agent applications. It implements a central [persistence layer](https://langchain-ai.github.io/langgraphjs/concepts/persistence/), enabling features that are common to most agent architectures:
 
 - **Memory**: LangGraph persists arbitrary aspects of your application's state,
 supporting memory of conversations and other updates within and across user

libs/langgraph/README.md

@@ -21,10 +21,7 @@ LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [A
 
 ### Why use LangGraph?
 
-LangGraph provides fine-grained control over both the flow and state of your
-agent applications. It implements a central
-[persistence layer](https://langchain-ai.github.io/langgraphjs/concepts/persistence/),
-enabling features that are common to most agent architectures:
+**LangGraph powers production-grade agents, trusted by Linkedin, Uber, Klarna, GitLab, and many more**. LangGraph provides fine-grained control over both the flow and state of your agent applications. It implements a central [persistence layer](https://langchain-ai.github.io/langgraphjs/concepts/persistence/), enabling features that are common to most agent architectures:
 
 - **Memory**: LangGraph persists arbitrary aspects of your application's state,
 supporting memory of conversations and other updates within and across user