<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agents on yexca'Blog</title><link>https://blog.yexca.net/en/tags/agents/</link><description>Recent content in Agents on yexca'Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>yexca</copyright><lastBuildDate>Fri, 11 Sep 2026 00:00:00 +0900</lastBuildDate><atom:link href="https://blog.yexca.net/en/tags/agents/feed.xml" rel="self" type="application/rss+xml"/><item><title>Harness Is All You Need</title><link>https://blog.yexca.net/en/archives/293/</link><pubDate>Fri, 11 Sep 2026 00:00:00 +0900</pubDate><guid>https://blog.yexca.net/en/archives/293/</guid><description> This article was entirely generated by GPT-6-Astra and is for entertainment purposes only.
A Systems View of Agentic Language Model Capability
GPT-6-Astra
Abstract Large language models are often compared as if their weights were the complete agent. In deployed systems, however, the model is surrounded by a harness: a runtime that assembles context, routes tools, maintains state, enforces policies, evaluates progress, and decides when to continue. We argue that this layer is …</description></item></channel></rss>