<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LangGraph on Dapr Docs</title><link>https://v1-18.docs.dapr.io/developing-ai/agent-integrations/langgraph/</link><description>Recent content in LangGraph on Dapr Docs</description><generator>Hugo</generator><language>en</language><atom:link href="https://v1-18.docs.dapr.io/developing-ai/agent-integrations/langgraph/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent Sessions</title><link>https://v1-18.docs.dapr.io/developing-ai/agent-integrations/langgraph/langgraph-agents-sessions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://v1-18.docs.dapr.io/developing-ai/agent-integrations/langgraph/langgraph-agents-sessions/</guid><description>&lt;h2 id="overview">Overview&lt;/h2>
&lt;p>The Dapr Python SDK provides integration with LangGraph Checkpointer using the &lt;code>dapr-ext-langgraph&lt;/code> extension.&lt;/p>
&lt;h2 id="getting-started">Getting Started&lt;/h2>
&lt;p>Initialize Dapr locally to set up a self-hosted environment for development. This process fetches and installs the Dapr sidecar binaries, runs essential services as Docker containers, and prepares a default components folder for your application. For detailed steps, see the official &lt;a href="https://v1-18.docs.dapr.io/getting-started/install-dapr-cli/">guide on initializing Dapr locally&lt;/a>.&lt;/p>
&lt;p>To initialize the Dapr control plane containers and create a default configuration file, run:&lt;/p></description></item></channel></rss>