How to think about agent frameworks TL;DR: * The hard part of building reliable agentic systems is making sure the LLM has the appropriate context at each step. This includes both
TAMM AI Assistant: Transforming Government Services in Abu Dhabi with LangChain and LangGraph" See how the Abu Dhabi Government powers their government services platform with LangGraph and LangChain to achieve efficiency and precision.
How Harmonic built an investment agent with LangGraph and LangSmith— so VCs can focus on founders See how Harmonic uses LangSmith and LangGraph products to streamline venture investing workflows.
Why Definely chose LangGraph for building their multi-agent AI system See how Definely used LangGraph to design a multi-agent system to help lawyers speed up their workflows.
Introducing End-to-End OpenTelemetry Support in LangSmith LangSmith now provides end-to-end OpenTelemetry (OTel) support for applications built on LangChain and/or LangGraph.
How Lovable uses LangSmith to debug & monitor agents in production Discover how Lovable leveraged LangSmith to gain visibility into its agent’s interactions, rapidly scaling its AI software engineer agent to $25M ARR in just 4 months.
Vodafone transforms data operations with AI using LangChain and LangGraph See how Vodafone, a leading telecom company serving 340M+ customers, used LangChain and LangGraph for its performance metrics monitoring and information retrieval chatbots.
How Inconvo is improving customer-facing analytics with conversational AI built on LangGraph See how Inconvo leverages LangGraph to empower non-technical users to conduct data analysis seamlessly through natural language queries.
How do I speed up my AI agent? I get this question a bunch. Developers generally first spend time getting the agent to work, but then they turn their attention to speed and
How C.H. Robinson is transforming the logistics industry with LangChain Global logistics provider saves 600+ hours a day with tech they built using LangGraph, LangGraph Studio, and LangSmith developer tools.
MCP: Flash in the Pan or Future Standard? Model Context Protocol (MCP) is creating quite the stir on Twitter – but is it actually useful, or just noise? In this back and forth, Harrison
How Build.inc used LangGraph to launch a Multi-Agent Architecture for automating critical CRE workflows for Data Center Development. Editor's note: This is a guest blog post from our friends at Build.inc. They built one of the more complex multi-agent workflows
