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LangChain's Deep Agents provide structured multi-agent systems with built-in planning, filesystem context, and subagent spawning. This guide demonstrates building a job search assistant by connecting Deep Agents to a Next.js frontend using CopilotKit. The architecture streams agent state and tool calls in real-time via AG-UI protocol, keeping UI components synchronized with backend execution. The implementation covers resume parsing, web search integration with Tavily, structured data flow between frontend and agent, and proper separation of conversational chat from structured outputs like job listings.

How to build a Frontend for LangChain Deep Agents with CopilotKit!

Anmol Baranwal

LangChain recently introduced Deep Agents: that can plan, delegate tasks to subagents and externalize context. I built one that reads your resume (PDF) and uses sub-agents + Tavily to search the web based on your skills and relevant context.

<p>LangChain recently introduced Deep Agents: that can plan, delegate tasks to subagents and externalize context. I built one that reads your resume (PDF) and uses sub-agents + Tavily to search the web based on your skills and relevant context.</p>

<p>Interesting <a href="https://app.daily.dev/anmolbaranwal" data-mention-id="iWZFqWGzJuZ3TMf4ZW9aZ" data-mention-username="anmolbaranwal" translate="no">@anmolbaranwal</a> . Thanks for this cake.</p>
