<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: Kashif Hussain</title>
    <description>The latest articles on DEV Community by Kashif Hussain (@kashif_hussain_d1982984b2).</description>
    <link>https://dev.to/kashif_hussain_d1982984b2</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4150494%2F7a010803-2538-491a-872e-b6c74fff5400.png</url>
      <title>DEV Community: Kashif Hussain</title>
      <link>https://dev.to/kashif_hussain_d1982984b2</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/kashif_hussain_d1982984b2"/>
    <language>en</language>
    <item>
      <title>Built a customer-support AI agent that actually remembers customers</title>
      <dc:creator>Kashif Hussain</dc:creator>
      <pubDate>Tue, 29 Sep 2026 18:07:14 +0000</pubDate>
      <link>https://dev.to/kashif_hussain_d1982984b2/built-a-customer-support-ai-agent-that-actually-remembers-customers-351</link>
      <guid>https://dev.to/kashif_hussain_d1982984b2/built-a-customer-support-ai-agent-that-actually-remembers-customers-351</guid>
      <description>&lt;p&gt;Built a customer-support AI agent that actually remembers customers&lt;/p&gt;

&lt;p&gt;One problem I noticed with AI support agents is that they often make customers repeat the same information in every new conversation.&lt;/p&gt;

&lt;p&gt;So I built SupportMemory using Hindsight persistent memory.&lt;/p&gt;

&lt;p&gt;The idea is simple:&lt;/p&gt;

&lt;p&gt;Without memory:&lt;br&gt;
Customer → AI → Response&lt;/p&gt;

&lt;p&gt;With memory:&lt;br&gt;
Customer → Recall previous context → AI → Response → Retain new information&lt;/p&gt;

&lt;p&gt;For the demo, I used three customers: Ananya, Steven, and Max.&lt;/p&gt;

&lt;p&gt;For example, instead of asking Ananya for her order number again, the agent can recall her previous interaction and continue from there.&lt;/p&gt;

&lt;p&gt;The main things I explored were:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;🔹 Persistent customer memory&lt;/li&gt;
&lt;li&gt;🔹 Recall + retain architecture&lt;/li&gt;
&lt;li&gt;🔹 Personalizing support responses&lt;/li&gt;
&lt;li&gt;🔹 Comparing agent behavior with and without memory&lt;/li&gt;
&lt;li&gt;🔹 Using Hindsight as the memory layer&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The biggest takeaway for me: AI agents don't just need to generate good responses — they also need to remember the right context.&lt;/p&gt;

&lt;p&gt;Would love to hear how others are approaching memory in AI agents.&lt;/p&gt;

</description>
      <category>agents</category>
      <category>ai</category>
      <category>architecture</category>
    </item>
  </channel>
</rss>
