How Autonomous AI Agents Actually Work: ReAct, Tools & Memory

  <h2>From Passive Chatbots to Active Agents</h2>
  <p>A standard chatbot waits for a prompt, generates text, and stops. An autonomous agent is fundamentally different: it can plan steps, evaluate progress, execute tools, read external environments, and iterate until a goal is achieved.</p>

  <h3>The ReAct Architecture: Reason + Act</h3>
  <p>The foundation of modern autonomous agents is the <strong>ReAct (Reasoning and Acting)</strong> loop:</p>
  <ul>
    <li><strong>Thought:</strong> The agent articulates its internal reasoning about the current state.</li>
    <li><strong>Action:</strong> The agent invokes a declared tool (e.g. <code>searchWeb</code>, <code>clickElement</code>, <code>calculate</code>).</li>
    <li><strong>Observation:</strong> The tool returns real-world output back into the agent's context window.</li>
    <li><strong>Reflection:</strong> The agent verifies if the goal is met or determines the subsequent step.</li>
  </ul>

  <p>This exact architecture powers Boad Buddy as it autonomously assists users across 200+ connected web applications.</p>