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	<title>AI Agent 시리즈 &#8211; 박나연(공원나연)</title>
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		<title>사전구축 에이전트 Swarm 구현하기 &#124; LangGraph Swarm</title>
		<link>https://nayeon-park.com/%ec%82%ac%ec%a0%84%ea%b5%ac%ec%b6%95-%ec%97%90%ec%9d%b4%ec%a0%84%ed%8a%b8-swarm-%ea%b5%ac%ed%98%84%ed%95%98%ea%b8%b0-langgraph-swarm/</link>
		
		<dc:creator><![CDATA[gongwonnayeon]]></dc:creator>
		<pubDate>Tue, 28 Jul 2026 07:53:33 +0000</pubDate>
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					<description><![CDATA[더 알아보기]]></description>
										<content:encoded><![CDATA[
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</div>



<p class="wp-block-paragraph"></p>



<h3 class="wp-block-heading"><strong>더 알아보기</strong></h3>



<ul class="wp-block-list">
<li><a href="https://github.com/langchain-ai/langgraph-swarm-py" target="_blank" rel="noreferrer noopener">Github: langgraph-swarm-py</a></li>



<li><a href="https://www.langchain.com/blog/command-a-new-tool-for-multi-agent-architectures-in-langgraph" target="_blank" rel="noreferrer noopener">Command: A new tool for building multi-agent architectures in LangGraph</a></li>



<li><a href="https://langchain-ai.github.io/langgraph/concepts/multi_agent/" target="_blank" rel="noopener">Langgraph Multi-agent systems</a></li>



<li><a href="https://reference.langchain.com/python/langgraph/agents" target="_blank" rel="noreferrer noopener">Langgraph Agents Reference</a></li>



<li><a href="https://www.langchain.com/blog/langgraph-0-3-release-prebuilt-agents" target="_blank" rel="noreferrer noopener">LangGraph 0.3 Release: Prebuilt Agents</a></li>



<li><a href="https://docs.langchain.com/oss/python/langchain/agents" target="_blank" rel="noreferrer noopener">Community Agents(Prebuilt)</a></li>
</ul>



<p class="wp-block-paragraph"></p>
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		<title>DB 조회결과에 따라 스스로 쿼리문을 수정하는 Agent &#124; LangGraph &#124; Text2Cypher</title>
		<link>https://nayeon-park.com/db-%ec%a1%b0%ed%9a%8c%ea%b2%b0%ea%b3%bc%ec%97%90-%eb%94%b0%eb%9d%bc-%ec%8a%a4%ec%8a%a4%eb%a1%9c-%ec%bf%bc%eb%a6%ac%eb%ac%b8%ec%9d%84-%ec%88%98%ec%a0%95%ed%95%98%eb%8a%94-agent-langgraph-text2/</link>
		
		<dc:creator><![CDATA[gongwonnayeon]]></dc:creator>
		<pubDate>Tue, 28 Jul 2026 07:26:15 +0000</pubDate>
				<category><![CDATA[AI Agent 시리즈]]></category>
		<guid isPermaLink="false">https://mwpdemo69791.mycafe24.com/?p=3474</guid>

					<description><![CDATA[더 알아보기]]></description>
										<content:encoded><![CDATA[
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</div></figure>



<div class="wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-76f29c8d wp-block-buttons-is-layout-flex">
<div class="wp-block-button"><a class="wp-block-button__link wp-element-button" href="https://colab.research.google.com/drive/1OCJOE0b6jsYYwz_CcglNAe6l7kxNtQpK?usp=sharing" target="_blank" rel="noreferrer noopener">실습자료 바로가기</a></div>
</div>



<p class="wp-block-paragraph"></p>



<h3 class="wp-block-heading"><strong>더 알아보기</strong></h3>



<ul class="wp-block-list">
<li><a href="https://neo4j.com/developer-blog/knowledge-graph-agents-llamaindex" target="_blank" rel="noreferrer noopener">Building Knowledge Graph Agents With LlamaIndex Workflows</a></li>



<li><a href="https://github.com/tomasonjo-labs/text2cypher_llama_agent" target="_blank" rel="noreferrer noopener">Command: A new tool for building multi-agent architectures in LangGraph</a></li>



<li><a href="https://langchain-ai.github.io/langgraph/concepts/multi_agent/" target="_blank" rel="noopener">Langgraph Multi-agent systems</a></li>
</ul>



<p class="wp-block-paragraph"></p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>웹 검색 기반 채팅 agent 구현하기 langgraph tool calling agent</title>
		<link>https://nayeon-park.com/%ec%9b%b9-%ea%b2%80%ec%83%89-%ea%b8%b0%eb%b0%98-%ec%b1%84%ed%8c%85-agent-%ea%b5%ac%ed%98%84%ed%95%98%ea%b8%b0-langgraph-tool-calling-agent/</link>
		
		<dc:creator><![CDATA[gongwonnayeon]]></dc:creator>
		<pubDate>Tue, 28 Jul 2026 06:32:24 +0000</pubDate>
				<category><![CDATA[AI Agent 시리즈]]></category>
		<guid isPermaLink="false">https://mwpdemo69791.mycafe24.com/?p=3480</guid>

					<description><![CDATA[더 알아보기]]></description>
										<content:encoded><![CDATA[
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</div></figure>



<div class="wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-76f29c8d wp-block-buttons-is-layout-flex">
<div class="wp-block-button"><a class="wp-block-button__link wp-element-button" href="https://colab.research.google.com/drive/1OCJOE0b6jsYYwz_CcglNAe6l7kxNtQpK?usp=sharing" target="_blank" rel="noreferrer noopener">실습자료 바로가기</a></div>
</div>



<p class="wp-block-paragraph"></p>



<h3 class="wp-block-heading"><strong>더 알아보기</strong></h3>



<ul class="wp-block-list">
<li><a href="https://www.anthropic.com/engineering/building-effective-agents" target="_blank" rel="noreferrer noopener">Building effective agents</a></li>



<li><a href="https://www.langchain.com/blog/what-is-an-agent" target="_blank" rel="noreferrer noopener">What is an AI agent?</a></li>



<li><a href="https://docs.langchain.com/oss/python/langgraph/overview" target="_blank" rel="noreferrer noopener">Learn LangGraph basics</a></li>



<li><a href="https://docs.langchain.com/oss/python/langchain/overview" target="_blank" rel="noreferrer noopener">How to use chat models to call tools</a></li>



<li><a href="https://docs.tavily.com/documentation/quickstart" target="_blank" rel="noreferrer noopener">Tavily Quickstart</a></li>



<li><a href="https://arxiv.org/abs/2210.03629" target="_blank" rel="noreferrer noopener">ReAct: Synergizing Reasoning and Acting in Language Models</a></li>
</ul>



<p class="wp-block-paragraph"></p>
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