<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0">
    <channel>
        <title>AI Agent - Category - Simi Studio</title>
        <link>/en/categories/ai-agent/</link>
        <description>AI Agent - Category - Simi Studio</description>
        <generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>simi@simi.studio (Simi)</managingEditor>
            <webMaster>simi@simi.studio (Simi)</webMaster><lastBuildDate>Wed, 18 Mar 2026 10:00:00 &#43;0800</lastBuildDate><atom:link href="/en/categories/ai-agent/" rel="self" type="application/rss+xml" /><item>
    <title>2026 Autonomous Agent Status: Devin, Manus, Cursor Real Comparison</title>
    <link>/en/posts/ai-autonomous-agents-2026/</link>
    <pubDate>Wed, 18 Mar 2026 10:00:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/ai-autonomous-agents-2026/</guid>
    <description><![CDATA[Devin, Manus, Cursor Agent are three main Autonomous Agents. Early 2026 real comparison: who can actually do work for you, who's just marketing hype.]]></description>
</item>
<item>
    <title>Computer Use Agent Roundup: Claude, GPT-4o, Gemini - Who Controls Computers Best</title>
    <link>/en/posts/computer-use-agent-analysis/</link>
    <pubDate>Sun, 01 Mar 2026 10:00:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/computer-use-agent-analysis/</guid>
    <description><![CDATA[Computer Use (AI directly controlling computers) is the hottest direction in 2026. Anthropic, OpenAI, Google all released solutions. This article横向对比实测结果.]]></description>
</item>
<item>
    <title>AI Agent Browser Automation: Browser Use vs Jina AI Real Comparison</title>
    <link>/en/posts/ai-agent-browser-automation/</link>
    <pubDate>Wed, 18 Feb 2026 10:15:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/ai-agent-browser-automation/</guid>
    <description><![CDATA[Letting AI Agents operate browsers is hot in 2026. Browser Use and Jina AI Browser are two main options. Real testing comparison to help you choose.]]></description>
</item>
<item>
    <title>Multi-Agent Systems in Practice: How Multiple AI Agents Collaborate</title>
    <link>/en/posts/multi-agent-systems-guide/</link>
    <pubDate>Thu, 22 Jan 2026 15:30:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/multi-agent-systems-guide/</guid>
    <description><![CDATA[Multi-Agent is the hot direction in 2026. But stringing multiple Agents together isn't simple. This article explains when Multi-Agent is needed, common architectures, and pitfalls to avoid.]]></description>
</item>
<item>
    <title>AI Agent Autonomy Levels: Is Your Agent L1 or L5</title>
    <link>/en/posts/ai-agent-autonomous-levels/</link>
    <pubDate>Sat, 03 Jan 2026 09:30:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/ai-agent-autonomous-levels/</guid>
    <description><![CDATA[Everyone says AI Agent, but the word is diluted beyond meaning. This article uses a tiered framework to evaluate actual agent autonomy, from 'just chatting' to 'fully autonomous'.]]></description>
</item>
<item>
    <title>MCP After One Year: How I Integrated AI Agents into Real Workflows</title>
    <link>/en/posts/mcp-best-practices/</link>
    <pubDate>Sun, 21 Dec 2025 14:30:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/mcp-best-practices/</guid>
    <description><![CDATA[MCP (Model Context Protocol) has been out for a year. This is my experience using MCP to build real workflows: pitfalls encountered, most valuable usage patterns, and scenarios where MCP is反而负担.]]></description>
</item>
<item>
    <title>MCP in Practice: Connecting AI Agents to Your Toolchain</title>
    <link>/en/posts/mcp-model-context-protocol/</link>
    <pubDate>Thu, 10 Apr 2025 10:00:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/mcp-model-context-protocol/</guid>
    <description><![CDATA[MCP (Model Context Protocol) is Anthropic's open protocol for connecting AI Agents to external tools in a standardized way. This article explains what MCP is, how to use it, and its real value.]]></description>
</item>
<item>
    <title>Spec First, Code Second: Using OpenSpec to Constraint Your AI Coding Assistant</title>
    <link>/en/posts/openspec-spec-driven-ai-development/</link>
    <pubDate>Sat, 15 Mar 2025 10:00:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/openspec-spec-driven-ai-development/</guid>
    <description><![CDATA[OpenSpec is a Spec-Driven Development framework that solves the problem of vague requirements and unpredictable AI output by establishing a spec layer before AI writes any code.]]></description>
</item>
<item>
    <title>pi-mono: TypeScript Full-Stack AI Agent Toolkit</title>
    <link>/en/posts/pi-mono-deep-dive/</link>
    <pubDate>Thu, 20 Feb 2025 10:00:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/pi-mono-deep-dive/</guid>
    <description><![CDATA[pi-mono is a TypeScript-native AI agent toolkit providing unified multi-provider LLM API, agent runtime with tool calling, interactive coding agent CLI, and more—for developers who want AI capabilities in the Node.js/TypeScript ecosystem.]]></description>
</item>
<item>
    <title>OpenClaw Architecture: How One AI Agent Powers All Messaging Channels</title>
    <link>/en/posts/openclaw-architecture/</link>
    <pubDate>Fri, 10 Jan 2025 10:00:00 &#43;0800</pubDate>
    <author>simi@simi.studio (Simi)</author>
    <guid>/en/posts/openclaw-architecture/</guid>
    <description><![CDATA[OpenClaw is a WebSocket Gateway that lets AI Agents connect to multiple messaging platforms—Telegram, Discord, WhatsApp, Feishu, and more—through a unified protocol layer. This article dissects its core architecture.]]></description>
</item>
</channel>
</rss>
