<?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 Lynx Tech Blog</title><link>https://blog.lynxflow.co/en/tags/ai-agent/</link><description>Recent content in AI Agent on Lynx Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Thu, 10 Sep 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://blog.lynxflow.co/en/tags/ai-agent/index.xml" rel="self" type="application/rss+xml"/><item><title>Is My Claude Code Memory System the Most Mature? — DIY Cross-Harness Setup vs. the Open-Source Ecosystem</title><link>https://blog.lynxflow.co/en/posts/claude-code-memory-systems-survey-2026/</link><pubDate>Thu, 10 Sep 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/claude-code-memory-systems-survey-2026/</guid><description>&lt;img src="https://blog.lynxflow.co/images/claude-code-memory-systems-survey-2026.png" alt="Featured image of post Is My Claude Code Memory System the Most Mature? — DIY Cross-Harness Setup vs. the Open-Source Ecosystem" /&gt;The verdict up front No — it is not &amp;ldquo;the most mature on the internet,&amp;rdquo; because there is no absolute most-mature; it depends on which problem you are solving. But placed against the 2026 open-source ecosystem, my system sits firmly in the top tier of self-built setups, with one strength almost no open-source project has: a single-source-of-truth architecture spanning 6 harnesses.
I also have to be honest: the industry is productizing this exact capability. The highest-starred project,</description></item><item><title>I Had 114 Research Agents Investigating 'Other Ways to Automate Money-Making' — Only 8 Conclusions Survived</title><link>https://blog.lynxflow.co/en/posts/2026-08-24-auto-monetization-deep-research/</link><pubDate>Mon, 24 Aug 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/2026-08-24-auto-monetization-deep-research/</guid><description> Bottom line up front: On the map of automating income, 2026 really changed two things—GitHub shuffled large bounties into an invite-only VIP tier (the public track&amp;rsquo;s critical cap dropped to $10K, with a qualification gate), and Huntr rebranded open-source bounties into AI attack-defense tournaments ($15K prize pool, which happens to be the direction my existing pipeline maps onto most cleanly). And every pretty &amp;ldquo;market size&amp;rdquo; number mostly gets wiped out after a three-panel adv</description></item><item><title>Managing AI agents in the terminal: I ended up keeping herdr — a head-to-head review of four managers</title><link>https://blog.lynxflow.co/en/posts/terminal-agent-manager-comparison-2026/</link><pubDate>Tue, 11 Aug 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/terminal-agent-manager-comparison-2026/</guid><description>&lt;img src="https://blog.lynxflow.co/images/terminal-agent-manager-comparison-2026.png" alt="Featured image of post Managing AI agents in the terminal: I ended up keeping herdr — a head-to-head review of four managers" /&gt;Prologue: First, Getting Tangled Up by My Own Pile of AI Agents My recent workflow has turned into this: several AI agents running in the terminal at the same time—Claude Code modifying one project, Codex doing research in another, and yet another one generating content. Multiple projects in parallel, with the terminal as the main arena.
Then came the problem: I had no idea which agent was stuck, what it was waiting for, or whether it had finished. I tried tmux, used it for a while, then dropped</description></item></channel></rss>