<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Autonomous on SoloSoft</title><link>https://www.solosoft.dev/tags/autonomous/</link><description>Recent content in Autonomous 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/autonomous/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><item><title>Roo Code: Open-Source AI Coding Agent with Multiple Expert Modes</title><link>https://www.solosoft.dev/post/roo-code-ai-agent-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/roo-code-ai-agent-2026/</guid><description>&lt;p&gt;The landscape of AI coding assistants has grown crowded, but few tools have captured developer attention as rapidly as &lt;strong&gt;Roo Code&lt;/strong&gt;. With over 23,000 GitHub stars and a rapidly growing community, Roo Code has distinguished itself through a design philosophy that treats AI as a multi-modal collaborator rather than a single-purpose autocomplete.&lt;/p&gt;
&lt;p&gt;Roo Code integrates as a VS Code extension but goes far beyond the capabilities of typical code completion tools. It operates as a full-fledged AI agent that can read and write files, execute terminal commands, browse the web, and interact with external services through the Model Context Protocol (MCP). The defining innovation is its expert mode system: instead of one AI assistant that does everything, Roo Code provides specialized personas optimized for different tasks.&lt;/p&gt;</description></item></channel></rss>