<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multi-Platform on SoloSoft</title><link>https://www.solosoft.dev/tags/multi-platform/</link><description>Recent content in Multi-Platform 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/multi-platform/index.xml" rel="self" type="application/rss+xml"/><item><title>Hermes Agent: Nous Research's Self-Improving AI Agent with 17 Platform Support</title><link>https://www.solosoft.dev/post/hermes-agent-self-improving-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/hermes-agent-self-improving-2026/</guid><description>&lt;p&gt;Most AI agents are static &amp;ndash; their behavior is fixed at deployment time by their system prompt and model weights. What happens when they encounter a novel situation they were not designed for? They fail, and a developer must manually update the agent. &lt;strong&gt;Hermes Agent&lt;/strong&gt; from Nous Research takes a fundamentally different approach: it learns from its experiences and improves its own behavior over time, without human intervention.&lt;/p&gt;
&lt;p&gt;Hermes Agent, available at &lt;a href="https://github.com/NousResearch/hermes-agent"&gt;github.com/NousResearch/hermes-agent&lt;/a&gt;, is a self-improving AI agent framework with support for 17 different platforms including Discord, Slack, Telegram, Twitter, and more. It uses a built-in learning loop that captures task outcomes, identifies failure patterns, and updates its own instruction set to avoid repeating mistakes. This creates an agent that gets better at its job the longer it runs.&lt;/p&gt;</description></item><item><title>Oh My OpenAgent: Open-Source Multi-Platform AI Agent Framework</title><link>https://www.solosoft.dev/post/oh-my-openagent-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/oh-my-openagent-2026/</guid><description>&lt;p&gt;The AI agent ecosystem has exploded with frameworks, each offering different abstractions, backends, and capabilities. &lt;strong&gt;Oh My OpenAgent&lt;/strong&gt; enters this landscape with a compelling proposition: a multi-platform agent framework that abstracts away the differences between LLM providers, deployment targets, and tool execution environments, letting developers focus on agent behavior rather than infrastructure plumbing.&lt;/p&gt;
&lt;p&gt;Created by developer code-yeongyu, Oh My OpenAgent takes inspiration from the popular &amp;ldquo;Oh My Zsh&amp;rdquo; project in its approach to extensibility. The framework is built around a core agent runtime that can be extended through plugins, tools, and platform adapters. This modular architecture means that agents built for one LLM backend can be switched to another with minimal code changes &amp;ndash; a valuable property in a landscape where model capabilities evolve rapidly.&lt;/p&gt;</description></item></channel></rss>