How to build a Frontend for LangChain Deep Agents with CopilotKit!
Blog post from CopilotKit
The text discusses the integration of LangChain's Deep Agents with a frontend using CopilotKit, showcasing how to build a job search assistant. Deep Agents are a new model for creating structured, multi-agent systems that plan, delegate, and reason across multiple steps, using a filesystem for context and subagent spawning. The text provides a guide to connecting Deep Agents to a Next.js UI, ensuring real-time synchronization between the UI and agent through CopilotKit's middleware. It covers the architecture, patterns, and state flow between the UI and agent, detailing the creation of a job search assistant that utilizes Deep Agents for planning and execution, while CopilotKit maintains UI state in sync with agent activities. The backend is built with FastAPI, hosting a Deep Agent graph that orchestrates job searches, and uses tools like Tavily for internet searches, with results streamed back to the UI. The project structure, key components, and the interaction between frontend and backend are explained to demonstrate the seamless connection established by CopilotKit.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 9 | 6,829 | 1,486 | 274 | -22% |
| Subagents | 7 | 93 | 23 | 17 | +830% |
| LLM | 4 | 4,868 | 834 | 248 | +13% |
| AI Coding Assistant | 3 | 937 | 266 | 114 | +15% |
| Multi-agent systems | 3 | 536 | 137 | 70 | +4% |
| AI Agents | 1 | 5,006 | 903 | 237 | +38% |
| Agent Context Engineering | 1 | 258 | 59 | 41 | +3% |
| Kubernetes | 1 | 1,440 | 254 | 100 | -17% |
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