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docs: update README (#3242)

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Vadym Barda
2025-01-29 22:33:32 +00:00
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README.md
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@@ -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/langgraph/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/langgraph/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
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@@ -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/langgraph/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/langgraph/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