<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Persistent on SoloSoft</title><link>https://www.solosoft.dev/tags/persistent/</link><description>Recent content in Persistent 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/persistent/index.xml" rel="self" type="application/rss+xml"/><item><title>Mem0: Memory Layer for Personalized AI Interactions</title><link>https://www.solosoft.dev/post/mem0-memory-layer-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/mem0-memory-layer-2026/</guid><description>&lt;p&gt;One of the fundamental limitations of current AI systems is their lack of persistent memory. Each interaction starts fresh, with no recollection of previous conversations, user preferences, or learned context. &lt;strong&gt;Mem0&lt;/strong&gt; (mem0ai/mem0 on GitHub) addresses this gap by providing a dedicated memory layer for AI applications, enabling persistent, personalized interactions that improve over time.&lt;/p&gt;
&lt;p&gt;Developed by the Mem0 AI team, this open-source library has rapidly gained adoption as the leading solution for adding memory to AI applications. Mem0 stores structured information about users &amp;ndash; their preferences, facts they have shared, conversation history, and contextual knowledge &amp;ndash; and makes that information available to AI applications through a simple query API. The result is AI interactions that feel genuinely personal and contextually aware.&lt;/p&gt;</description></item><item><title>Supermemory MCP: Persistent Memory for AI Agents via MCP</title><link>https://www.solosoft.dev/post/supermemory-mcp-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/supermemory-mcp-2026/</guid><description>&lt;p&gt;One of the biggest limitations of current AI agents is their lack of persistent memory. Each new conversation starts from scratch, forcing users to repeat context and preferences. Supermemory MCP solves this by providing a persistent memory layer that AI agents can read from and write to across sessions, all through the Model Context Protocol.&lt;/p&gt;
&lt;p&gt;Developed by supermemoryai, this MCP server gives AI agents the ability to remember facts about users, recall past interactions, and build a knowledge base over time. It supports structured and unstructured memory, automatic summarization, and configurable retention policies. The result is AI agents that learn and improve with every interaction.&lt;/p&gt;</description></item></channel></rss>