From 91031c19900dda6b50fa72080466966d89fbb279 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 31 Jan 2025 10:06:47 -0500 Subject: [PATCH] Update README.md (#831) --- README.md | 7 +++++-- libs/langgraph/README.md | 7 +++++-- 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 29e39289..8064f26f 100644 --- a/README.md +++ b/README.md @@ -21,8 +21,7 @@ LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [A ### Why use LangGraph? -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: - +LangGraph powers [production-grade agents](https://www.langchain.com/built-with-langgraph), 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 interactions; @@ -358,6 +357,10 @@ Then we define one normal and one conditional edge. Conditional edge means that * [API Reference](https://langchain-ai.github.io/langgraphjs/reference/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more. * [LangGraph Platform](https://langchain-ai.github.io/langgraphjs/concepts/#langgraph-platform): LangGraph Platform is a commercial solution for deploying agentic applications in production, built on the open-source LangGraph framework. +## Resources + +* [Built with LangGraph](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship powerful, production-ready AI applications. + ## Contributing For more information on how to contribute, see [here](https://github.com/langchain-ai/langgraphjs/blob/main/CONTRIBUTING.md). diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md index 29e39289..8064f26f 100644 --- a/libs/langgraph/README.md +++ b/libs/langgraph/README.md @@ -21,8 +21,7 @@ LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [A ### Why use LangGraph? -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: - +LangGraph powers [production-grade agents](https://www.langchain.com/built-with-langgraph), 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 interactions; @@ -358,6 +357,10 @@ Then we define one normal and one conditional edge. Conditional edge means that * [API Reference](https://langchain-ai.github.io/langgraphjs/reference/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more. * [LangGraph Platform](https://langchain-ai.github.io/langgraphjs/concepts/#langgraph-platform): LangGraph Platform is a commercial solution for deploying agentic applications in production, built on the open-source LangGraph framework. +## Resources + +* [Built with LangGraph](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship powerful, production-ready AI applications. + ## Contributing For more information on how to contribute, see [here](https://github.com/langchain-ai/langgraphjs/blob/main/CONTRIBUTING.md).