Build full-stack agents using LangGraph & CopilotKit (02/21/25 webinar)

​In this session, we’ll reveal how you can quickly bring intelligent agents into your production applications using CopilotKit and LangGraph. Learn about new CopilotKit features—from seamless message syncing to catch-all tool call rendering—that simplify development and elevate user experiences. Through a comprehensive live demo, we’ll show you how to build an agentic copilot that behaves like a responsive, cursor-driven interface across any domain. --- Resources GitHub: https://git.new/copilotkit-github ​Webinar Outline: ​1. Opening Remarks ​• Welcome and overview of the webinar objectives. ​• The current landscape: The growing demand for agentic intelligence in apps. ​2. Feature Exploration ​• Simpler Message Syncing: ​Keeping LangGraph and CopilotKit messages automatically in sync. ​• Default Emission of Agent Tool Calls: ​Simplifying development by eliminating manual emissions. ​• Catch-All Rendering for Tool Calls: ​Customizing a default generative UI for all tool calls. ​• Loading Historical Conversations: ​Using the threadId property to retrieve full message histories in CopilotKit. ​3. Live Demo: From Prototype to Production ​• Building an agentic copilot from the ground up. ​• Demonstrating the implementation of a cursor-like interface. ​• Showing real-time syncing, tool call handling, and history loading. ​4. Tips & Best Practices ​• Tips for deploying agents to production. ​• Discussing challenges and solutions for building agent-driven experiences. ​• Q&A session with actionable insights. ​5. Closing ​• Summary of key points and benefits. ​• Next steps, resources, and how to engage further. ​• Final Q&A and feedback collection. Timestamps: 00:00 Introduction 05:30 Running the Open Canvas Multi Agent Demo 09:40 Why we chose to use Copilot Cloud instead of a self hosted runtime 18:30 Question: Does each agent have context of each other? 25:00 Questions: What are frontend actions?