<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI-Agent on MyVar.dev</title><link>https://gibbok.github.io/myvar/tags/ai-agent/</link><description>Recent content in AI-Agent on MyVar.dev</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 23 Apr 2026 17:43:18 +0000</lastBuildDate><atom:link href="https://gibbok.github.io/myvar/tags/ai-agent/index.xml" rel="self" type="application/rss+xml"/><item><title>ReAct Agents Synergizing Reasoning and Acting in LLM Workflows</title><link>https://gibbok.github.io/myvar/ai-agents/react-agents-synergizing-reasoning-and-acting-in-llm-workflows/</link><pubDate>Thu, 23 Apr 2026 17:43:18 +0000</pubDate><guid>https://gibbok.github.io/myvar/ai-agents/react-agents-synergizing-reasoning-and-acting-in-llm-workflows/</guid><description>&lt;h2 id="react-agents-synergizing-reasoning-and-acting-in-llm-workflows"&gt;ReAct Agents: Synergizing Reasoning and Acting in LLM Workflows&lt;/h2&gt;
&lt;h3 id="overview"&gt;Overview&lt;/h3&gt;
&lt;p&gt;A &lt;strong&gt;ReAct agent&lt;/strong&gt; is an AI agent employing the &amp;ldquo;reasoning and acting&amp;rdquo; (ReAct) framework to combine chain of thought (CoT) reasoning with external tool use. This framework enhances large language models (LLMs) to handle complex tasks and decision-making in agentic workflows. Introduced by Yao et al. in 2023, ReAct represents a significant advancement in generative AI, enabling LLMs to move beyond mere conversational capabilities towards robust problem-solving.&lt;/p&gt;</description></item><item><title>NVIDIA NemoClaw: Securing and Managing Autonomous AI Agents</title><link>https://gibbok.github.io/myvar/ai-agents/nvidia-nemoclaw-securing-and-managing-autonomous-ai-agents/</link><pubDate>Tue, 17 Mar 2026 20:49:18 +0000</pubDate><guid>https://gibbok.github.io/myvar/ai-agents/nvidia-nemoclaw-securing-and-managing-autonomous-ai-agents/</guid><description>&lt;h3 id="overview"&gt;Overview&lt;/h3&gt;
&lt;p&gt;NVIDIA NemoClaw, announced at GTC 2026, is an open-source software stack. It makes autonomous AI agents—referred to as &amp;ldquo;claws&amp;rdquo;—safe, secure, and enterprise-ready by providing a management and security layer for the OpenClaw framework.&lt;/p&gt;
&lt;h3 id="key-insights"&gt;Key Insights&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Open-Source Foundation:&lt;/strong&gt; NemoClaw is an open-source stack designed for autonomous AI agents.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Enhanced Security &amp;amp; Management:&lt;/strong&gt; It acts as a critical security and management layer for the popular OpenClaw framework, enabling secure, independent task execution for AI assistants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Bundled Technologies:&lt;/strong&gt; NemoClaw integrates multiple NVIDIA technologies, providing a single-command installation experience.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Declarative Policy Control:&lt;/strong&gt; It introduces fine-grained, declarative policies to mitigate historical security risks associated with autonomous agents.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Hardware Agnostic, NVIDIA Optimized:&lt;/strong&gt; The stack runs on diverse hardware, optimized for the NVIDIA ecosystem, supporting always-on agent deployments.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="technical-details"&gt;Technical Details&lt;/h3&gt;
&lt;p&gt;NVIDIA NemoClaw bundles several NVIDIA technologies to enable secure and efficient operation of AI agents.&lt;/p&gt;</description></item></channel></rss>