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Vellum
Self-hosted MCP server over a folder of markdown
A lightweight, self-hosted MCP server that turns a plain folder of markdown into memory your AI agent can read and write. One 24 MB container, no database, no embeddings, no lock-in. Your notes stay flat files you own in git, Obsidian, or any editor. 15 MCP tools, its own OAuth, conflict-safe writes. MIT.
Hi Product Hunt! I'm Tomáš, the maker of vellum.
I kept giving my AI assistant "memory" and kept ending up with the same problem: the memory lived in someone else's database, as embeddings I couldn't read, in a cloud I didn't control. So I built the opposite.
vellum is a tiny self-hosted MCP server over a plain folder of markdown. Your agent reads and writes notes straight into the folder, and the folder stays flat files you own: git, Obsidian, grep, any editor. No database, no embeddings, no vendor lock-in. One 24 MB container, `docker compose up -d`, and you're done.
It's fully open source (MIT). I'd love your feedback, especially on the MCP tool surface (15 tools today) and where you'd want it to go next.
About Vellum on Product Hunt
“Self-hosted MCP server over a folder of markdown”
Vellum was submitted on Product Hunt and earned 15 upvotes and 6 comments, placing #43 on the daily leaderboard. A lightweight, self-hosted MCP server that turns a plain folder of markdown into memory your AI agent can read and write. One 24 MB container, no database, no embeddings, no lock-in. Your notes stay flat files you own in git, Obsidian, or any editor. 15 MCP tools, its own OAuth, conflict-safe writes. MIT.
On the analytics side, Vellum competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Vellum performed against the three products that launched closest to it on the same day.
Who hunted Vellum?
Vellum was hunted by Tomáš Grasl. 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 Vellum including community comment highlights and product details, visit the product overview.
Tomáš Grasl