Vellum: Open-Source MCP Server Gives AI Agents Memory via Local Markdown Files
A developer has released Vellum, an open-source, self-hosted MCP server that gives AI assistants persistent memory stored entirely as plain markdown files in a user-owned local folder. Unlike cloud-based AI memory solutions, Vellum keeps all data as flat files, meaning users retain full control and can edit notes in tools like Obsidian, vim, or git simultaneously. The lightweight server, distributed as a single 24 MB Go binary, connects to MCP-compatible AI clients such as Claude, Cursor, and ChatGPT Desktop, supporting operations like read, write, search, tagging, and backlinking. Search runs as a fast in-memory scan requiring no vector database or embeddings, and the system includes built-in OAuth 2.1 authentication with no external dependencies or outbound calls. Vellum is available on GitHub under the MIT license and can be deployed with a single Docker command or via one-click hosting on platforms like Railway, Render, or Fly.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.
Discussion (0)
Log in to join the discussion and vote.
Log in