Build a Fullstack Stock Portfolio Agent with LangGraph and AG-UI
Blog post from CopilotKit
CopilotKit's guide details the integration of a LangGraph agent with the AG-UI protocol, an open-source, event-driven framework enabling real-time interactions between frontends and AI agents. This integration facilitates rich communication and state management, allowing seamless streaming of AI responses to the frontend. The tutorial outlines setting up a Python-based backend using FastAPI, configuring LangGraph workflows, and defining various AG-UI protocol events like lifecycle, state management, tool call, and text message events. It further explores using CopilotKit to connect the AG-UI + LangGraph agent to a frontend application, leveraging components like HttpAgent and CopilotChat for a responsive user interface. The guide emphasizes the use of shared states for real-time updates and introduces human-in-the-loop interactions to enhance AI reliability. Additionally, it explains how to render agent states and stream responses in the UI, highlighting CopilotKit's potential in integrating AI copilots into applications swiftly.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 17 | 3,159 | 623 | 196 | +13% |
| Real-time | 17 | 5,669 | 1,214 | 278 | 0% |
| AI Coding Assistant | 5 | 1,091 | 242 | 101 | -9% |
| Multi-agent systems | 2 | 318 | 105 | 60 | -26% |
| LLM | 1 | 4,688 | 764 | 235 | -9% |
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