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    <title>DEV Community: DURAGCHANDRA.A</title>
    <description>The latest articles on DEV Community by DURAGCHANDRA.A (@chanduardhi).</description>
    <link>https://dev.to/chanduardhi</link>
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      <title>DEV Community: DURAGCHANDRA.A</title>
      <link>https://dev.to/chanduardhi</link>
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    <item>
      <title>Building an AI-Powered Meeting Prep &amp; Contact Memory Agent with Vectorize Hindsight and Groq</title>
      <dc:creator>DURAGCHANDRA.A</dc:creator>
      <pubDate>Mon, 28 Sep 2026 18:48:57 +0000</pubDate>
      <link>https://dev.to/chanduardhi/building-an-ai-powered-meeting-prep-contact-memory-agent-with-vectorize-hindsight-and-groq-56c9</link>
      <guid>https://dev.to/chanduardhi/building-an-ai-powered-meeting-prep-contact-memory-agent-with-vectorize-hindsight-and-groq-56c9</guid>
      <description>&lt;p&gt;Have you ever walked into a client meeting trying to remember what you promised them three weeks ago, their preferred communication style, or the exact details of the last technical debrief? Remembering everything across dozens of clients is tough.To solve this, I built the AI Meeting Prep &amp;amp; Contact Memory Agent—a full-stack Python application that securely retains client context in isolated memory banks, automatically logs history to spreadsheets, and generates instant pre-meeting executive briefings using high-speed LLM inference.&lt;br&gt;&lt;br&gt;
🛠️ The Tech Stack&lt;br&gt;
Memory Persistence: Vectorize Hindsight Cloud (hindsight-client) for context retention and semantic recall.&lt;br&gt;&lt;br&gt;
inference / LLM: Groq API using the openai/gpt-oss-120b model for rapid executive summary synthesis. &lt;br&gt;
User Interface: Streamlit for a clean, reactive dashboard.&lt;br&gt;&lt;br&gt;
Data Logging: Pandas &amp;amp; local CSV spreadsheets (client_meeting_tracker.csv, client_reminders.csv) for persistent offline logging.&lt;br&gt;&lt;br&gt;
🏗️ Core Architecture &amp;amp; Features&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;&lt;p&gt;Multi-Bank Isolated Client Memory&lt;br&gt;
To ensure client data is strictly segregated, the agent dynamically generates a sanitized, client-isolated Hindsight memory bank ID for every contact:&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;Instant Executive Briefings via GroqWhen preparing for an upcoming call, the app queries Hindsight to recall past notes and passes them into Groq to synthesize a structured brief covering communication preferences, commitments made, and key discussion topics.   3. Interactive Streamlit Dashboard&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Interactive Streamlit Dashboard
The app features a multi-tab interface built with Streamlit&lt;/li&gt;
&lt;/ol&gt;
&lt;/li&gt;
&lt;/ol&gt;


&lt;div class="ltag-github-readme-tag"&gt;
  &lt;div class="readme-overview"&gt;
    &lt;h2&gt;
      &lt;img src="https://assets.dev.to/assets/github-logo-5a155e1f9a670af7944dd5e12375bc76ed542ea80224905ecaf878b9157cdefc.svg" alt="GitHub logo"&gt;
      &lt;a href="https://github.com/Chanduardhi" rel="noopener noreferrer"&gt;
        Chanduardhi
      &lt;/a&gt; / &lt;a href="https://github.com/Chanduardhi/meeting-prep-memory-agent" rel="noopener noreferrer"&gt;
        meeting-prep-memory-agent
      &lt;/a&gt;
    &lt;/h2&gt;
    &lt;h3&gt;
      
    &lt;/h3&gt;
  &lt;/div&gt;
  &lt;div class="ltag-github-body"&gt;
    
&lt;div id="readme" class="md"&gt;&lt;div class="markdown-heading"&gt;
&lt;h1 class="heading-element"&gt;AI Meeting Prep &amp;amp; Contact Memory Agent&lt;/h1&gt;

&lt;/div&gt;
&lt;p&gt;An intelligent agent built with &lt;strong&gt;Vectorize Hindsight&lt;/strong&gt; for persistent client memory, &lt;strong&gt;Groq API&lt;/strong&gt; for executive briefings, and a &lt;strong&gt;Streamlit&lt;/strong&gt; user interface.&lt;/p&gt;
&lt;div class="markdown-heading"&gt;
&lt;h2 class="heading-element"&gt;Features&lt;/h2&gt;

&lt;/div&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Multi-Bank Architecture&lt;/strong&gt;: Isolated Hindsight memory banks per contact (&lt;code&gt;bank_client_*&lt;/code&gt;).&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Automated Logging&lt;/strong&gt;: Tracks debriefs and reminders in CSV spreadsheets.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Executive Briefings&lt;/strong&gt;: Generates instant summaries on client communication preferences and commitments.&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;



&lt;/div&gt;
&lt;br&gt;
  &lt;div class="gh-btn-container"&gt;&lt;a class="gh-btn" href="https://github.com/Chanduardhi/meeting-prep-memory-agent" rel="noopener noreferrer"&gt;View on GitHub&lt;/a&gt;&lt;/div&gt;
&lt;br&gt;
&lt;/div&gt;
&lt;br&gt;


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      <category>agents</category>
      <category>ai</category>
      <category>productivity</category>
      <category>python</category>
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