From 4c7705f8b9fa9399fbfd8a27f8c30be997de4aff Mon Sep 17 00:00:00 2001 From: Vadym Barda Date: Wed, 29 Jan 2025 17:34:16 -0500 Subject: [PATCH] docs: update README (#822) --- README.md | 5 +---- libs/langgraph/README.md | 5 +---- 2 files changed, 2 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index aea45a7e..a726e8d5 100644 --- a/README.md +++ b/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 diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md index aea45a7e..a726e8d5 100644 --- a/libs/langgraph/README.md +++ b/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