Build Agentic Application with LangGraph
Join this two-hour, hands-on technical workshop to explore how model reasoning, LangGraph.js agent workflows, SkeinJS runtime infrastructure and a front end fit together in a working agentic application.
From model to real application
Each layer has a distinct responsibility. Together, they take you from model reasoning and agent control flow to the runtime services and user interface that make an agent useful.
01 - REASONING & RESPONSES
Model: The LLM reasons, generates responses and helps decide when tools should be called.
02 - GRAPH & CONTROL FLOW
LangGraph.js — agent logic. Define the graph, state, nodes, edges, routing and tool-calling behaviour that shape how the agent works.
03 - HOSTING & RUNTIME
SkeinJS — runtime and backend. Host the graph and provide supporting infrastructure such as API access, conversation threads, streaming, persistence, human approvals and background jobs.
04 - INTERACTION & VISIBILITY
Front end — user experience. Connect a web interface to the agent using the LangGraph SDK and suitable framework bindings, then show responses and live execution updates.
INSTRUCTOR - Wycliffe Maina
Founder of Garatropic Studios · Creator of SkeinJS · Author and writer · Google Developer Expert for Angular
Maina builds open-source infrastructure for TypeScript AI agents and practical software. In this session, he’ll walk through how LangGraph.js agent logic and SkeinJS runtime capabilities come together in an application.