Memmy Agent

<p>Hey Product Hunters 👋</p><p></p><p>I'm Zhiqi, one of the makers behind Memmy.</p><p></p><p>If you bounce between Cursor, Claude Code, Codex, and other AI tools like me, you know the pain: every new chat starts from zero. Prefs, decisions, project context — you HAVE TO re-explain to them again and again.<br></p><p>Finally we get rid of it, and we're excited to introduce Memmy 🍙<br></p><p>Memmy is a local-first memory layer those tools can share. Auth once, and it turns messy chat history into structured memory — prefs, decisions, project context. Switch tools, and Memmy carries what matters with you. No re-explaining anymore. You can search it, control who uses it, or delete anytime. And it stays on your device, never uploaded to a remote server.<br></p><p>Also an agent itself: you can hand it tasks, not just manage memories.<br></p><p>We're open source, free to start, and would love to hear your thought — "What tool should we support next, and what should memory never forget?"<br></p><p>We gonna be here all day to answer questions and would genuinely appreciate your feedback 🫶🏻</p>

<p>Been waiting for something like this, honestly. <br>BTW, does it work well with Claude Code specifically, or is that still early days?</p>

<p>Love the pitch! How do you handle conflict resolution when a user exhibits different personalities or prompt styles on different tools? (e.g., coding on Cursor vs. creative writing on Claude)?</p>

<p><strong>Memmy</strong> is a long-term memory assistant for individuals and developers, built to break down the memory silos created when working across AI coding agents such as Cursor, Claude Code, and Codex.</p><p>It consolidates historical conversations, task progress, and key decisions from multiple agents. Powered by the memory capabilities of <strong>MemOS</strong>, Memmy turns fragmented context into persistent, searchable, updatable, and reusable long-term memory. This means that when you switch tools, start a new session, or hand work off to another agent, your project context does not have to start from scratch.</p><p>Memmy is especially useful for:</p><ul><li><p>Developers and teams using multiple coding agents;</p></li><li><p>Engineers who want to preserve architectural decisions, technical investigations, and debugging history;</p></li><li><p>Users who want AI to continuously understand their preferences, workflows, and long-running goals;</p></li><li><p>Teams exploring long-running agents, multi-agent collaboration, and AI-native development workflows.</p></li></ul><p><strong>In one sentence: Memmy helps AI go beyond remembering a single conversation—it helps AI continue your work with persistent context.</strong></p><p>GitHub: <a href="https://github.com/MemTensor/memmy-agent" target="_blank" rel="nofollow noopener noreferrer">https://github.com/MemTensor/memmy-agent</a></p>