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Markbase
Shared Memory for your Agents
Notion, but for Agents. As we use more than one AI product (Claude Code, Claude.ai chat and Claude Design as well as other products and models), we wanted these to be able to share their memory and context with each other. That's why we built Markbase
Top comment
Hey Product Hunt!Hey Product Hunt! 👋 I'm one of the makers of Markbase — shared memory for your AI agents. A hosted Markdown MCP server that gives a whole fleet of agents one persistent place to read and write. The itch: agentic work isn't one model anymore. It's Claude Code on the engineering, Claude.ai on the thinking, other harnesses for the rest — and they all need to share state so the next one picks up where the last left off. A local notes/ folder breaks the second a second agent shows up. Notion's built for humans, not an API. So we built the thing shaped for a fleet. What you get: 📝 Just Markdown — plain .md files in versioned storage, no lock-in, export anytime. 🔒 Conflict-free — every write asserts an ETag, so two agents racing the same file can't clobber each other. 🧩 Typed collections — drop a _schema.md and records become queryable rows, still Markdown underneath. The fun part: we run Markbase on Markbase — our own PRD, architecture, and ~50 decision records live in it, written by the agents that build it. Invite-only private preview for now. I'll be in the comments all day — would love to hear how you're handling agent memory today. AMA! 🙏
About Markbase on Product Hunt
“Shared Memory for your Agents”
Markbase was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #143 on the daily leaderboard. Notion, but for Agents. As we use more than one AI product (Claude Code, Claude.ai chat and Claude Design as well as other products and models), we wanted these to be able to share their memory and context with each other. That's why we built Markbase
On the analytics side, Markbase competes within Notion — topics that collectively have 2.2k followers on Product Hunt. The dashboard above tracks how Markbase performed against the three products that launched closest to it on the same day.
Who hunted Markbase?
Markbase was hunted by Khash Sajadi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Markbase including community comment highlights and product details, visit the product overview.