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Zine
Curated memory you can publish to humans or agents via MCP
19 followers
Curated memory you can publish to humans or agents via MCP
19 followers
Zine is your curated memory layer for humans and AI agents. Organize your notes, files, and content into structured timelines you can search, share, or publish - across apps, agents, and formats like podcasts, slideshows, or videos. Your memory, your way.
Graphlit
👋 Hey Product Hunt — I’m Kirk, maker of Zine.
Zine is your curated memory layer — built for both people and AI agents.
It helps you organize everything you care about — notes, docs, transcripts, links — into structured timelines you can search, reuse, and publish. You can send that memory to a chatbot, turn it into a podcast, build a personal brief, or just keep track of what actually matters.
The idea came from years of building large-scale data platforms for enterprises, where context was everything -- but always buried. I started building the foundations for Zine nearly a decade ago, and we’ve finally reached the moment where AI tools are good enough that your memory actually matters. But those tools still forget everything. Zine gives you the missing piece: memory you control, and that lives across apps and agents.
We’re building toward a future where your memory is an MCP-portable content store - something you can edit, share, or plug into any LLM-based tool. It’s your own knowledge graph, with a UI that feels more like iPhoto than DevTools.
If you’ve ever thought “why doesn’t ChatGPT remember what I told it last week?” or “how can I actually organize all the stuff I’ve saved?” -- this is for you.
Would love for you to try it, tell us what works, and help shape what a memory product for MCP clients should look like.
Here's a longer walkthrough video of all the features as well. https://youtu.be/DE-OiNI8Xv0
Thanks for checking it out 🙏
- Kirk
Smoopit
The timeline approach is interesting. Why did you choose this over traditional folder hierarchies or tagging systems for organizing memories? @kirk_marple
Absolutely loved this, Kirk!
The curated memory layer concept really resonates, is something I personally am quite bullish off. Feels like the kind of missing infrastructure we need for agent-native workflows. Excited to see how this evolves for MCP use cases too. Def 101 recommended for building better workflows
Big congrats on the launch! PS- Context is indeed the new Prompt ;)
GPT-4o
Ngl, having my notes and links in one searchable timeline that AI actually remembers is genius—so tired of chatbots with goldfish memory, this is realy next level stuff!