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title: How to Build a Research Assistant using Deep Agents
description: Step-by-step guide to building a real-time research assistant using LangChain's Deep Agents framework, Tavily web search, and CopilotKit. Covers the full...
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og:description: Step-by-step guide to building a real-time research assistant using LangChain's Deep Agents framework, Tavily web search, and CopilotKit. Covers the full...
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# How to Build a Research Assistant using Deep Agents

**[Anmol Baranwal](https://daily.dev/sources/iwzfqwgzjuz3tmf4zw9az)** · [@anmolbaranwal](https://daily.dev/anmolbaranwal) · 3 upvotes · 0 comments

## Summary

Step-by-step guide to building a real-time research assistant using LangChain's Deep Agents framework, Tavily web search, and CopilotKit. Covers the full stack: a Next.js frontend with live streaming of agent state (todos, files, sources) via AG-UI, and a FastAPI backend hosting a multi-step Deep Agent that plans, delegates to sub-agents, and writes research reports. Key patterns include thread-isolated sub-agents to prevent event stream leakage, CopilotKit middleware for frontend-agent state sync, and a two-panel UI showing the agent's work in real time.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://dev.to/copilotkit/how-to-build-a-research-assistant-using-deep-agents-2bpg>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#fastapi](https://daily.dev/tags/fastapi), [#langgraph](https://daily.dev/tags/langgraph), [#nextjs](https://daily.dev/tags/nextjs)

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