Topics related to LangChain and its applications in AI
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The LangChain team has officially released the Middleware API, bringing production-grade agent control to LangChain and LangGraph applications. This groundbreaking feature, which we explored at our October showcase, is now live and ready for enterprise deployments.
In our second episode of AIMUG Builders, we sat down with Jeff Linwood to dig into how LLMs can actually improve the software development lifecycle—not just generate snippets.
Jeff has 25+ years of development experience and is leading work on ZapCircle, a TypeScript + LangChain framework designed for real-world teams. This wasn't a theoretical chat—we went straight into what works, what breaks, and how to bring LLMs into existing systems.
LangGraph 1.0 Alpha is here! 🚀 Watch our September showcase featuring 5 lightning-fast talks on the biggest updates in AI agents: LangChain/LangGraph 1.0, Claude Code custom agents, Deep Agents architecture, desktop automation with AI, and building dashboards in 126 lines of code.
From Harrison's team insights to live demos, this is 2 hours of pure AI engineering gold. Join 1,500+ builders pushing the boundaries of what's possible with agents.
Hey Neighbors,
We're excited to see you tonight for another action-packed Austin AI MUG! Here's what's on deck:
May 28, 2025 | Austin LangChain AI Middleware Users Group (AIMUG)
The Austin LangChain community continues to be at the forefront of AI development discussions, bringing together a diverse mix of researchers, corporate engineers, and business leaders to explore the practical applications of AI middleware. Our recent Office Hours session on May 27th provided valuable insights into the current state of AI tooling, enterprise adoption patterns, and the infrastructure needed to support production AI systems.
Join us tonight for an exciting AIMUG event featuring community lightning talks, a hands-on LangChain Voice Agent lab with FastRTC, and a mixer at The Tavern to wrap up the evening. This is your chance to learn about fresh ideas, get hands-on experience with voice agent development, and connect with fellow AI enthusiasts.
Our most recent Austin LangChain AI Middleware User Group (AIMUG) office hours session explored advanced topics in agent architecture, with a particular focus on Model Context Protocol (MCP) implementations and agent-to-agent interactions. Here's a recap of the key insights and discussions.
Our April 22nd Austin LangChain AI Middleware Users Group (AIMUG) office hours session brought together six participants for a dynamic discussion on emerging technologies in the AI middleware space. The conversation spanned MCP architecture, agent-to-agent protocols, voice applications, and the evolving relationship between various AI frameworks.
At a recent Austin Lane Chain AI Mug event, Karim Lalani presented an innovative talk on integrating the Model Context Protocol (MCP), OpenWeb UI pipelines, and the agentic workflow capabilities provided by LangGraph—core elements of a broader ecosystem that also includes LangChain for managing language model interactions.
At our March Austin LangChain meeting, we witnessed an extraordinary presentation from Venika Kakarla, a sophomore at Round Rock High School, who developed a sophisticated machine learning model to detect and analyze hepatocellular carcinoma (HTC)—the fatal liver cancer that claimed her grandfather's life. Her innovative approach combines deep neural networks, XGBoost regression, and graph convolutional networks to predict protein stability and DNA binding affinity in cancer cells with unprecedented efficiency.