<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A2A on SoloSoft</title><link>https://www.solosoft.dev/tags/a2a/</link><description>Recent content in A2A 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/a2a/index.xml" rel="self" type="application/rss+xml"/><item><title>A2A: Google's Agent-to-Agent Protocol Now Under Linux Foundation</title><link>https://www.solosoft.dev/post/a2a-agent-protocol-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/a2a-agent-protocol-2026/</guid><description>&lt;p&gt;The AI agent ecosystem is experiencing a Cambrian explosion. Frameworks for building agents &amp;ndash; LangChain, CrewAI, AutoGen, Semantic Kernel, Vertex AI Agent Builder &amp;ndash; are multiplying rapidly, each with its own internal communication patterns, data formats, and capability advertising mechanisms. This fragmentation creates a fundamental problem: agents built with different frameworks cannot talk to each other.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;A2A&lt;/strong&gt; (Agent-to-Agent), an open protocol initially developed by Google and contributed to the Linux Foundation, aims to solve this interoperability crisis. It defines a standard communication protocol that any agent can implement, regardless of the underlying framework, allowing agents built with different tools to discover each other, negotiate tasks, share information, and collaborate on complex workflows.&lt;/p&gt;</description></item><item><title>AgentScope: Alibaba's Open-Source Multi-Agent Framework for Transparent AI Agents</title><link>https://www.solosoft.dev/post/agentscope-framework-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/agentscope-framework-2026/</guid><description>&lt;p&gt;Building production-grade multi-agent systems is notoriously complex. Coordinating communication between agents, managing distributed deployments, integrating with external tools, and ensuring observability are challenges that most frameworks tackle only partially. &lt;strong&gt;AgentScope&lt;/strong&gt;, developed by Alibaba&amp;rsquo;s Tongyi Lab, addresses these challenges with a comprehensive framework designed for real-world, scalable multi-agent applications.&lt;/p&gt;
&lt;p&gt;AgentScope distinguishes itself through its focus on transparency and controllability. Every agent&amp;rsquo;s decision-making process is observable, every message can be inspected, and the entire system can be configured through declarative specifications rather than imperative code. This makes it suitable for enterprise applications where auditability and reliability are paramount.&lt;/p&gt;
&lt;p&gt;The framework supports both the Model Context Protocol (MCP) and Google&amp;rsquo;s Agent-to-Agent (A2A) protocol, enabling interoperability with a wide ecosystem of tools and agent platforms. Combined with its distributed communication system (MsgHub), AgentScope can orchestrate agent swarms that span multiple servers and geographic regions.&lt;/p&gt;</description></item></channel></rss>