Whenever developers talk about giving long-term memory to AI agents, the default advice is almost always: "Spin up a vector database."
When building MemoFS, we decided to take the opposite approach and store all agent memory as plain Markdown and JSON directly on local disk (.memofs/) instead.
Here s why we think files beat remote vector databases for both agent users and builders:
Most memory tools for AI agents rely on remote vector databases or opaque cloud dashboards. They act as black boxes you can't inspect, debug, or version alongside your code.
MemoFS takes a fundamentally different, file-first approach: all agent memory is stored as plain, structured Markdown and JSON directly in your project’s repository under .memofs/. Your agent's memory becomes inspectable, 100% offline-first, and Git-versioned natively with your codebase.
