Memory in LLMs A practical guide showing how to implement conversational memory in LLMs using LangGraph, demonstrated through a therapy chatbot. Features code examples for basic retention, trimming, and summarization approaches. Learn to build memory-aware apps
@langchain
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Create AI-Powered D&D Dungeon Master with LangGraph Tutorial
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D&D AI Dungeon Master Tutorial Albert shows how to create an AI-powered D&D Dungeon Master using LangGraph. This tutorial combines graph-based AI agents with automated UI generation to bring your D&D games to life. Learn to build your own AI DM https://
youtu.be/amyMz1fXwoU -
Smart Health Agent: GPU-Accelerated Multi-Agent System for Real-Time Monitoring
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Smart Health Agent A GPU-accelerated multi-agent system providing real-time health monitoring with personalized insights. Built with LangGraph to orchestrate agents that process health metrics and environmental data. Check it out here https://
github.com/jayrodge/ai-ag
ents/tree/main/smart_health_agent
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Production-Ready AI Agents: A Practical Guide with LangGraph
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Agents Towards Production Nir Diamant just released a practical guide for building production-ready AI agents. This open-source playbook features tutorials using LangGraph for workflows and LangSmith for observability, plus essential production features. Check it out
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Three Core Characteristics of Agentic AI Systems and Future Software Development
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@FactoryAI Co-Founder and CTO @EnoReyes breaks down the three core characteristics that make AI systems agentic and reveals why the future of software development requires a fundamental shift from AI-assisted coding to fully agent-driven workflows. Learn how Factory builds -
Compare OpenAI and Anthropic Web Search Performance in LangSmith
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Curious whether OpenAI or Anthropic models perform web search better?
— LangChain (@LangChain) 18 juin 2025
Try web search and other provider-specific built-in tools in the LangSmith Playground today 🛠️
Docs ➡️ https://t.co/c6S38gGfGj pic.twitter.com/n8fKt7vbJVCurious whether OpenAI or Anthropic models perform web search better? Try web search and other provider-specific built-in tools in the LangSmith Playground today Docs https://
docs.smith.langchain.com/prompt_enginee
ring/how_to_guides/use_tools
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Watch Full Video: Agent Engineer Stories from LangChain
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Watch the full video: https://
youtu.be/6LidoFXCJPs/?u
tm_medium=social&utm_source=twitter&utm_campaign=q2-2025_customer-videos_co
… See more agent engineer stories: -
Vizient Uses LangGraph for Multi-Agent Clinical Outcomes Analysis
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When it comes to clinical outcomes, @VizientInc supports healthcare providers across the U.S. with data-driven insights. With LangGraph, Blake Rhodes (Director of AI Strategy) and his team at Vizient built a multi-agent system for analyzing clinical outcomes at scale. They also… pic.twitter.com/MF8aMkbKkf
— LangChain (@LangChain) 18 juin 2025When it comes to clinical outcomes, @VizientInc supports healthcare providers across the U.S. with data-driven insights. With LangGraph, Blake Rhodes (Director of AI Strategy) and his team at Vizient built a multi-agent system for analyzing clinical outcomes at scale. They also
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LangGraph Cloud Studio: Video Walkthrough and Evaluation Tools
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walkthrough: https://
youtube.com/watch?v=DpimoC
1Cszg
… Docs: https://
langchain-ai.github.io/langgraph/clou
d/how-tos/studio/run_evals/
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Try it: http://
smith.langchain.com -
Agent Evals in LangGraph Studio Now Available
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Agent Evals in LangGraph Studio Evaluating your agents performance just got easier, you can now run your agent over LangSmith datasets and apply evaluators over the results, without writing a line of code! Try it today in LangGraph Studio. See for more info: