AI Agent Frameworks: From ReAct to Production (2nd Offering)
Presenter: Mahshad Hashemi
Date: Friday, November 21, 2025
Time: 1:30 pm
Location: Workshop Space, 4th Floor - 300 Ouellette Ave., School of Computer Science, Advanced Computing Hub
This session explains modern AI agent patterns and frameworks, enabling you to make informed decisions about building or buying. We’ll clarify ReAct (Reason→Act→Observe), plan-and-execute, graph/workflow orchestration, and multi-agent teams; compare popular frameworks (LangGraph, AG2/AutoGen, CrewAI, LlamaIndex, Microsoft Semantic Kernel, Haystack, and Swarm-style); We close with a production checklist, reliability, safety, and cost controls that teams can apply immediately to ship dependable agentic applications.
- Why agents now
- Core patterns: ReAct vs. plan-and-execute vs. graph/workflow vs. multi-agent
- Framework landscape & selection matrix
- Production readiness
- Safety: policy checks, sandboxed tools, audit trails, human-in-the-loop
- Cost discipline
Familiarity with AI terminology (LLM, RAG) is helpful but not required.
Mahshad Hashemi is a PhD candidate in Computer Science at the University of Windsor, specializing in artificial intelligence, graph neural networks (GNNs), and large language models (LLMs). Her work covers data-driven modelling across biology and AI, and she explores practical, workflow-oriented applications. Mahshad has delivered numerous technical workshops for the School of Computer Science’s Advanced Computing Hub, focusing on practical, production-minded AI.