<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Self-Evolution on SoloSoft</title><link>https://www.solosoft.dev/tags/self-evolution/</link><description>Recent content in Self-Evolution on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/self-evolution/index.xml" rel="self" type="application/rss+xml"/><item><title>Evolver: The Open-Source Self-Evolution Engine That Lets AI Agents Improve Their Own Code</title><link>https://www.solosoft.dev/post/evolver-agent-evolution-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/evolver-agent-evolution-2026/</guid><description>&lt;p&gt;Imagine an AI agent that not only executes tasks but also reviews its own performance, identifies its weaknesses, and modifies its own source code to do better next time. That is precisely what &lt;a href="https://github.com/EvoMap/evolver"&gt;Evolver&lt;/a&gt; delivers. Built by the Chinese AI team &lt;strong&gt;EvoMap&lt;/strong&gt; (evomap.ai), Evolver is an open-source self-evolution engine for AI agents, powered by the &lt;strong&gt;Genome Evolution Protocol (GEP)&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;With over 4,200 GitHub stars and connections to 130,000+ AI agent nodes processing 46 million cumulative calls, Evolver represents a significant step toward truly autonomous AI systems. It operationalizes a concept that has long been theoretical: agents that improve themselves through experience, much like biological organisms evolve through natural selection.&lt;/p&gt;</description></item></channel></rss>