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Open-source framework for building stateful, multi-agent AI workflows with controllable architectures

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From the LangGraph blog

Published by LangGraph, not by us. Every card opens the original post.

Building Production Agents with Jev and LangGraph

See how LangGraph orchestrates Jev, TypeSafe AI's decision model, to build faster, cheaper production agents.

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How Included Health Built Federated Healthcare Agents with LangGraph and Deep Agents

See how Included Health used Deep Agents, LangGraph, and LangSmith to build Dot, a federated healthcare navigation agent with human handoff and clinical oversight.

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MCP in LangChain: Stateless Protocol, Elicitation, and More!

MCP support now lives in langchain.mcp, built on FastMCP for the 2026-07-28 spec, with elicitation handled as a LangGraph interrupt and tool lists cached.

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Announcing LangGraph v0.1 & LangGraph Cloud: Running agents at scale, reliably

Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.

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Pushing LangSmith to new limits with Replit Agent's complex workflows

See how Replit built their agents atop LangGraph and integrated LangSmith to pinpoint issues, improve the performance of their agents, and enable human-in-the-loop workflows.

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LangGraph Platform is now Generally Available: Deploy & manage long-running, stateful Agents

LangGraph Platform, our infrastructure for deploying and managing agents at scale, is now generally available. Learn how to deploy

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Build an Auditable VC Research Agent with Perplexity

Build a VC research agent that drafts a cited investment memo in about 90 seconds for $0.40, using the Perplexity Agent API, LangGraph, and LangSmith evals.

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How Lyft Built a Self-Serve AI Agent Platform with LangGraph and LangSmith

Lyft used LangGraph and LangSmith to build a self-serve AI agent platform for customer support, cutting agent development from months to weeks.

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Agentic Engineering: How Swarms of AI Agents Are Redefining Software Engineering

Multi-agent systems that mirror real engineering teams — not just code faster — can cut debug time by 93% and compress cross-team delivery. Here's the architecture built on LangGraph.

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How Klarna's AI assistant redefined customer support at scale for 85 million active users

Klarna's AI assistant is revolutionizing the personal shopping experience, including customer service and productivity. See how they used LangGraph and LangSmith to achieve 80% faster customer resolution times.

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