<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:memo="https://memo.d.foundation/ns/feed/1">
  <channel>
    <title>integration - Dwarves Memo</title>
    <atom:link href="https://memo.d.foundation/topics/ai-agents/tags/integration/rss.xml" rel="self" type="application/rss+xml" />
    <link>https://memo.d.foundation/topics/ai-agents/tags/integration</link>
    <description>The newest notes tagged integration on Dwarves Memo.</description>
    <lastBuildDate>Tue, 06 May 2025 00:00:00 GMT</lastBuildDate>
    <language>en-US</language>
    <sy:updatePeriod>hourly</sy:updatePeriod>
    <sy:updateFrequency>1</sy:updateFrequency>
    <item>
      <title>Access the brainery</title>
      <link>https://memo.d.foundation/access-brainery</link>
      <pubDate>Tue, 06 May 2025 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[tieubao]]></dc:creator>
      <description><![CDATA[This page outlines how developers can connect to and utilize Brainery's extensive knowledge base and AI-driven capabilities. By integrating a straightforward MCP configuration, you can seamlessly access powerful insights directly within your existing development tools and workflows.]]></description>
      <guid isPermaLink="true">https://memo.d.foundation/access-brainery</guid>
    </item>
    <item>
      <title>Multi-agent collaboration for task completion</title>
      <link>https://memo.d.foundation/llm/multi-agent-collaboration-for-task-completion</link>
      <pubDate>Fri, 06 Sep 2024 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[nnhuyhoang]]></dc:creator>
      <description><![CDATA[In AI integrated systems, instead of put all workload on a single agent, we can apply divide and conquer strategy to distribute workload to multiple agents. This approach can enhance task completion by leveraging the unique skills and capabilities of each agent.This approach allows for more complex and nuanced problem-solving, as well as increased efficiency and scalability. By coordinating and communicating effectively, agents can work together to achieve common goals, divide labor, and overcome challenges that a single agent might face alone]]></description>
      <guid isPermaLink="true">https://memo.d.foundation/llm/multi-agent-collaboration-for-task-completion</guid>
    </item>
  </channel>
</rss>