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    <title>DEV Community: Pankaj Bhandari</title>
    <description>The latest articles on DEV Community by Pankaj Bhandari (@auysh8).</description>
    <link>https://dev.to/auysh8</link>
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      <title>DEV Community: Pankaj Bhandari</title>
      <link>https://dev.to/auysh8</link>
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    <item>
      <title>Building AgentForge Studio: An Open-Source Visual AI Agent Workflow Builder</title>
      <dc:creator>Pankaj Bhandari</dc:creator>
      <pubDate>Mon, 03 Aug 2026 16:17:44 +0000</pubDate>
      <link>https://dev.to/auysh8/building-agentforge-studio-open-source-visual-ai-agent-workflow-builder-with-nextjs-react-flow-1483</link>
      <guid>https://dev.to/auysh8/building-agentforge-studio-open-source-visual-ai-agent-workflow-builder-with-nextjs-react-flow-1483</guid>
      <description>&lt;p&gt;Hey devs! 👋&lt;/p&gt;

&lt;p&gt;I just open-sourced &lt;strong&gt;AgentForge Studio&lt;/strong&gt; — a visual, node-based builder for designing, testing, and running AI agent orchestration pipelines. Think of it as a canvas where you drag out your LLM logic instead of burying it in nested &lt;code&gt;if/else&lt;/code&gt; chains.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why I built it
&lt;/h2&gt;

&lt;p&gt;If you've ever tried to manage a multi-step LLM chain in code — call a model, branch on the response, hit an API, call another model — you know how fast it turns into spaghetti. I wanted something I could actually &lt;em&gt;see&lt;/em&gt;: a self-hostable canvas where I can wire up the flow, watch it execute step-by-step, and debug it live instead of sprinkling &lt;code&gt;console.log&lt;/code&gt; everywhere.&lt;/p&gt;

&lt;h2&gt;
  
  
  Tech stack
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Next.js (App Router)&lt;/strong&gt; + &lt;strong&gt;TypeScript&lt;/strong&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Tailwind CSS&lt;/strong&gt; + &lt;strong&gt;Radix UI / shadcn&lt;/strong&gt; for the UI layer&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Zustand&lt;/strong&gt; for canvas/flow state&lt;/li&gt;
&lt;li&gt;A serverless execution engine at &lt;code&gt;/api/execute&lt;/code&gt; that processes each node type and streams results straight to a console panel&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  What it does
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;🎨 &lt;strong&gt;Visual node canvas&lt;/strong&gt; — drag-and-drop nodes for LLM calls, prompt templates, and HTTP API endpoints&lt;/li&gt;
&lt;li&gt;🔀 &lt;strong&gt;Conditional branching&lt;/strong&gt; — route the flow based on a model's output&lt;/li&gt;
&lt;li&gt;💻 &lt;strong&gt;Live execution console&lt;/strong&gt; — watch each node fire and see its output in real time, instead of guessing what happened after the fact&lt;/li&gt;
&lt;li&gt;📦 &lt;strong&gt;Export engine&lt;/strong&gt; — export any workflow as JSON so it's portable and versionable&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Here's roughly what a single node looks like under the hood:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight typescript"&gt;&lt;code&gt;&lt;span class="c1"&gt;// simplified node execution shape&lt;/span&gt;
&lt;span class="kd"&gt;type&lt;/span&gt; &lt;span class="nx"&gt;AgentNode&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="p"&gt;{&lt;/span&gt;
  &lt;span class="na"&gt;id&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="kr"&gt;string&lt;/span&gt;&lt;span class="p"&gt;;&lt;/span&gt;
  &lt;span class="nl"&gt;type&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="dl"&gt;"&lt;/span&gt;&lt;span class="s2"&gt;llm&lt;/span&gt;&lt;span class="dl"&gt;"&lt;/span&gt; &lt;span class="o"&gt;|&lt;/span&gt; &lt;span class="dl"&gt;"&lt;/span&gt;&lt;span class="s2"&gt;condition&lt;/span&gt;&lt;span class="dl"&gt;"&lt;/span&gt; &lt;span class="o"&gt;|&lt;/span&gt; &lt;span class="dl"&gt;"&lt;/span&gt;&lt;span class="s2"&gt;http&lt;/span&gt;&lt;span class="dl"&gt;"&lt;/span&gt;&lt;span class="p"&gt;;&lt;/span&gt;
  &lt;span class="nl"&gt;config&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="nb"&gt;Record&lt;/span&gt;&lt;span class="o"&gt;&amp;lt;&lt;/span&gt;&lt;span class="kr"&gt;string&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="nx"&gt;unknown&lt;/span&gt;&lt;span class="o"&gt;&amp;gt;&lt;/span&gt;&lt;span class="p"&gt;;&lt;/span&gt;
  &lt;span class="nl"&gt;next&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="kr"&gt;string&lt;/span&gt;&lt;span class="p"&gt;[];&lt;/span&gt; &lt;span class="c1"&gt;// ids of downstream nodes&lt;/span&gt;
&lt;span class="p"&gt;};&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;Each node type is handled by its own executor in &lt;code&gt;/api/execute&lt;/code&gt;, and results get pushed to the console panel as they resolve — so you're watching the pipeline run, not just its final output.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;(This is a good spot to drop in a screenshot or short GIF of the canvas in action — posts with a visual of the actual UI tend to get a lot more engagement than a text-only wall.)&lt;/em&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Try it
&lt;/h2&gt;



&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight shell"&gt;&lt;code&gt;git clone https://github.com/auysh8/agentforge-studio
&lt;span class="nb"&gt;cd &lt;/span&gt;agentforge-studio
npm &lt;span class="nb"&gt;install
&lt;/span&gt;npm run dev
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;h2&gt;
  
  
  What's next
&lt;/h2&gt;

&lt;p&gt;Still early — next up is adding more node types (loops, memory/state nodes) and tightening up the export format so flows can round-trip cleanly.&lt;/p&gt;

&lt;h2&gt;
  
  
  Open source
&lt;/h2&gt;

&lt;p&gt;It's 100% open-source, MIT licensed.&lt;/p&gt;

&lt;p&gt;👉 &lt;strong&gt;GitHub&lt;/strong&gt;: &lt;a href="https://github.com/auysh8/agentforge-studio" rel="noopener noreferrer"&gt;https://github.com/auysh8/agentforge-studio&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;If this is useful to you, a ⭐ on the repo goes a long way. And if you've got ideas for nodes you'd want to see, I'd genuinely like to hear them in the comments.&lt;/p&gt;

</description>
      <category>ai</category>
      <category>nextjs</category>
      <category>opensource</category>
      <category>typescript</category>
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