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October 2025: LangGraph 1.0, A2A/AP2, and AI Research

Welcome to our October 2025 showcase! This month featured cutting-edge presentations on LangGraph middleware, agent communication protocols, cancer detection research, and inference providers.

Video Recording​

Featured Content​

Thunderstorm Talks​

  1. LangChain 1.0 Alpha & Middleware

    • LangGraph 1.0 alpha features
    • Middleware hooks and patterns
    • Context management and optimization
    • Human-in-the-loop implementations

  2. Agent-to-Agent (A2A) and Agent Payment Protocol (AP2)

    • A2A protocol overview
    • Capability discovery and negotiation
    • AP2 payment integration
    • Automated software development workflows

  3. AI Cancer Detection Research

    • Hepatocellular carcinoma research
    • Spatial data analysis with Python
    • Graph Attention Networks (GAT)
    • Stanford research internship findings

  4. LLM Inference Provider Frameworks

    • Ollama/Llama.cpp comparison
    • Hugging Face Transformers
    • VLLM for production
    • Performance benchmarks

Event Details​

October Monthly Showcase (October 1, 2025)​

Location: Austin Community College RGC 3000

Attendance: Over 60 attendees with 6 first-time visitors

Schedule:

  • 6:20 PM - Introduction & Community Updates
  • 6:30 PM - LangGraph 1.0 Middleware (Colin McNamara)
  • 6:45 PM - A2A/AP2 Protocols (Ryan Booth)
  • 7:10 PM - Cancer Detection Research (Venika Kakarla)
  • 7:30 PM - AI-Assisted Cognition (Ricky - scheduled)
  • 7:45 PM - Inference Providers (Dmitri Iourovitski)
  • 8:15 PM - Wrap-up & After Party at The Tavern

Key Topics​

LangGraph Evolution​

  • Transition to 1.0 stable releases
  • New middleware architecture
  • Three hook system: before_model, model, after_model
  • Production deployment considerations

Agent Communication​

  • Google's A2A protocol for agent discovery
  • OpenAI's Agent Payment Protocol (AP2)
  • Marketplace concepts for agent services
  • Contract-based agent workflows

AI in Medical Research​

  • Spatial analysis of tumor microenvironments
  • Cell clustering and distribution patterns
  • Machine learning for cancer recurrence prediction
  • Integration of clinical and spatial data

Local LLM Deployment​

  • CPU vs GPU optimization strategies
  • Quantization techniques (GGUF, AWQ)
  • Batch processing capabilities
  • Production-ready inference solutions

Community Highlights​

  • New Members: 6 first-time attendees
  • Student Research: High school student presenting Stanford internship research
  • Industry Applications: Real-world use cases in FinOps, healthcare, and software development
  • Technical Depth: Advanced topics on middleware, protocols, and inference optimization

Labs & Resources​

  • LangGraph 1.0 Alpha Testing
  • A2A Protocol Implementation
  • VLLM Deployment Guide
  • Medical Data Analysis with Python

Prerequisites​

  • Understanding of:
    • LangGraph basics
    • Agent architectures
    • Python development
    • AI/ML fundamentals
  • Development environment with:
    • Python 3.9+
    • GPU access (optional, for inference demos)
    • LangChain/LangGraph packages

Resources​

Next Events​

  • Tuesday Office Hours: Every Tuesday at 5:00 PM Central on Google Meet
  • Hacky Hour: TBD (check Discord/Meetup for updates)
  • November Showcase: First Wednesday of November

Join us on Discord or Meetup for the latest updates!