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.
Yesterday's Austin LangChain Office Hours session was packed with mind-blowing insights, from Claude Sonnet 3.7's impressive coding capabilities to AI characters developing social media addiction. We also got an exclusive look at a custom inference engine that could revolutionize how we work with large language models.
What happens when you bring together a passionate community of AI enthusiasts, developers, and innovators? Magic! That's exactly what we experienced during our February 20th Austin LangChain AIMUG community call, where we witnessed something truly special - the convergence of cutting-edge AI technologies that are setting new standards in the field.
The Austin LangChain community has been making significant strides in technical development, community growth, and event planning. This comprehensive report outlines our key initiatives, progress, and future directions from mid-January through early February 2025.
Join us tomorrow evening for our February Showcase and Mixer! We're excited to present a lineup of practical AI implementations and tool integrations that push the boundaries of what's possible with modern AI workflows.
Date: February 5, 2025
Time: 6:00 PM - 8:00 PM CST
Location: ACC - RGC 3000
After Party: The Tavern
Virtual Bridge: meet.google.com/txr-rque-xst
Learn two approaches to implementing AI image generation in your projects:
Cloud-Based Pipeline by Colin McNamara
Local GPU Optimization by Karim Lalani
Our hackathon team has developed powerful tools extending VSCode and Cline capabilities:
LangGraph Integration by Ricky Pirruccio
Extended Research Capabilities by Vaskin Kissoyan
Project Management Integration by Ricky Pirruccio
Colin will demonstrate how these tools integrate with Obsidian through Cline:
ACC - RGC 3000
1218 West Avenue, Austin, TX
Can't make it in person? Join us virtually at meet.google.com/txr-rque-xst
Join our community:
Detailed implementation notes and presentation transcripts will be added after the event.
The Austin LangChain AI Group held its community call on January 30, 2025, bringing together key members to discuss upcoming events, technical developments, and community initiatives. The call showcased the group's commitment to fostering AI innovation and community engagement in Austin.
When a group of seasoned developers, film enthusiasts, and dedicated tinkerers convenes in a buzzing city like Austin, big ideas tend to flourish. During our most recent Austin LangChain community call, we dove deep into the technical nitty-gritty—from local language-model deployments and bridging AI tools to text-to-video experimentation and 3D modeling. Here's a conversational look at the exciting progress and revelations shared during the meeting.
The Austin LangChain AI Middleware User Group gathered at Kinda Tropical for our January Hacky Hour, bringing together AI enthusiasts for an evening of creativity, collaboration, and community building. The relaxed atmosphere provided the perfect setting for members to share their latest projects, exchange ideas, and explore new possibilities in AI development.