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<title data-rh="true">Memory chatbot | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/tutorials-memory-chatbot"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Memory chatbot | Langflow Documentation"><meta data-rh="true" name="description" content="This flow extends the basic prompting flow with a Chat memory component that stores up to 100 previous chat messages and uses them to provide context for the current conversation."><meta data-rh="true" property="og:description" content="This flow extends the basic prompting flow with a Chat memory component that stores up to 100 previous chat messages and uses them to provide context for the current conversation."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/tutorials-memory-chatbot"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/tutorials-memory-chatbot" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/tutorials-memory-chatbot" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><link rel="preconnect" href="https://www.google-analytics.com">
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class="breadcrumbs__item"><span class="breadcrumbs__link">Tutorials</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Memory chatbot</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Memory chatbot</h1></header><style>[data-ch-theme="github-dark"] { --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: 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<!-- -->
<p>This flow extends the <a href="/starter-projects-basic-prompting">basic prompting flow</a> with a <strong>Chat memory</strong> component that stores up to 100 previous chat messages and uses them to provide context for the current conversation.</p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
<ul>
<li><a href="/get-started-installation">Langflow installed and running</a></li>
<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">OpenAI API key created</a></li>
</ul>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-the-memory-chatbot-flow">Create the memory chatbot flow<a href="#create-the-memory-chatbot-flow" class="hash-link" aria-label="Direct link to Create the memory chatbot flow" title="Direct link to Create the memory chatbot flow">​</a></h2>
<ol>
<li>From the Langflow dashboard, click <strong>New Flow</strong>.</li>
<li>Select <strong>Memory Chatbot</strong>.</li>
<li>The <strong>Memory Chatbot</strong> flow is created.</li>
</ol>
<p><img decoding="async" loading="lazy" src="/assets/images/starter-flow-memory-chatbot-af37fecb79d125009712e4c1128bc461.png" width="2662" height="1372" class="img_ev3q"></p>
<p>This flow adds a <strong>Chat Memory</strong> component to the Basic Prompting flow.
This component retrieves previous messages and sends them to the <strong>Prompt</strong> component to fill a part of the <strong>Template</strong> with context.</p>
<p>To examine the template, click the <strong>Template</strong> field in the <strong>Prompt</strong> component.
The <strong>Prompt</strong> tells the <strong>OpenAI model</strong> component how to respond to input.</p>
<div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>You are a helpful assistant that answers questions.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Use markdown to format your answer, properly embedding images and urls.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>History:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>{memory}</span></div></div><br></code></div></div>
<p>The <code>{memory}</code> code in the prompt creates a new input port in the component called <strong>memory</strong>.
The <strong>Chat Memory</strong> component is connected to this port to store chat messages from the <strong>Playground</strong>.</p>
<p>This gives the <strong>OpenAI</strong> component a memory of previous chat messages.</p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="run-the-memory-chatbot-flow">Run the memory chatbot flow<a href="#run-the-memory-chatbot-flow" class="hash-link" aria-label="Direct link to Run the memory chatbot flow" title="Direct link to Run the memory chatbot flow">​</a></h2>
<ol>
<li>Open the <strong>Playground</strong>.</li>
<li>Type multiple questions. For example, try entering this conversation:</li>
</ol>
<div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Hi, my name is Luca.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Please tell me about PostgreSQL.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>What is my name?</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>What is the second subject I asked you about?</span></div></div><br></code></div></div>
<p>The chatbot remembers your name and previous questions.</p>
<ol start="3">
<li>To view the <strong>Message Logs</strong> pane, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-ellipsis" aria-label="Horizontal ellipsis"><circle cx="12" cy="12" r="1"></circle><circle cx="19" cy="12" r="1"></circle><circle cx="5" cy="12" r="1"></circle></svg>, and then click <strong>Message Logs</strong>.
The <strong>Message Logs</strong> pane displays all previous messages, with each conversation sorted by <code>session_id</code>.</li>
</ol>
<p><img decoding="async" loading="lazy" src="/assets/images/messages-logs-aec5213dc668ee51c2a40eab2ba0718c.png" width="3250" height="1778" class="img_ev3q"></p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-session-id-with-the-memory-chatbot-flow">Use Session ID with the memory chatbot flow<a href="#use-session-id-with-the-memory-chatbot-flow" class="hash-link" aria-label="Direct link to Use Session ID with the memory chatbot flow" title="Direct link to Use Session ID with the memory chatbot flow">​</a></h2>
<p><code>session_id</code> is a unique identifier in Langflow that stores conversation sessions between the AI and a user. A <code>session_id</code> is created when a conversation is initiated, and then associated with all subsequent messages during that session.</p>
<p>In the <strong>Memory Chatbot</strong> flow you created, the <strong>Chat Memory</strong> component references past interactions by <strong>Session ID</strong>. You can demonstrate this by modifying the <strong>Session ID</strong> value to switch between conversation histories.</p>
<ol>
<li>In the <strong>Session ID</strong> field of the <strong>Chat Memory</strong> and <strong>Chat Input</strong> components, add a <strong>Session ID</strong> value like <code>MySessionID</code>.</li>
<li>Now, once you send a new message the <strong>Playground</strong>, you should have a new memory created in the <strong>Message Logs</strong> pane.</li>
<li>Notice how your conversation is being stored in different memory sessions.</li>
</ol>
<p>Learn more about chat memories in the <a href="/components-memories">Memory</a> section.</p></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/tutorials-document-qa"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Document QA</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/tutorials-math-agent"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Math agent</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#create-the-memory-chatbot-flow" class="table-of-contents__link toc-highlight">Create the memory chatbot flow</a></li><li><a href="#run-the-memory-chatbot-flow" class="table-of-contents__link toc-highlight">Run the memory chatbot flow</a></li><li><a href="#use-session-id-with-the-memory-chatbot-flow" class="table-of-contents__link toc-highlight">Use Session ID with the memory chatbot flow</a></li></ul></div></div></div></div></main></div></div></div><div style="position:fixed;right:20px;bottom:20px;z-index:100;display:flex;align-items:center;gap:10px;cursor:pointer"><div style="background-color:#f6f6f6;border-radius:50%;width:48px;height:48px;display:flex;align-items:center;justify-content:center;box-shadow:0 2px 4px rgba(0,0,0,0.1)"><img src="/img/langflow-icon-black-transparent.svg" style="width:40px" alt="Search"></div></div></div>
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