One of the growing trends in the AI world is how to tackle memory — context efficiency and persistence. The models are continually increasing in intelligence and capability. The missing layer for the next evolution is being able to concentrate that intelligence longer, and across more sessions.
And without missing a beat, companies and frontier labs have popped up trying to overly monetize this gap.
Hosting the memory of your AI agents on a cloud server or vector database that you have to continually pay to access means one thing: the moment you stop paying, you get locked out and lose everything. That memory — your agent's understanding of your codebase, your decisions, your patterns — gone. Because it was never really yours.
We built an alternative.
Ori Mnemos is a markdown-native persistent memory layer that ships as an MCP server. Plain files on disk. Wiki-links as graph edges. Git as version control. Works with Claude Code, Cursor, Windsurf, Cline, or any MCP client. Zero cloud dependencies. Zero API keys required for core functionality.
YOU OWN YOUR MEMORY.
The ownership question
When your agent's memory lives in a cloud API, you're not building a knowledge base. You're building someone else's training set. Every insight your agent captures, every decision it records, every pattern it learns — stored on infrastructure you don't control, funded by venture capital that needs a return.
Ori stores everything as markdown files on your machine. You can open them in Obsidian right now. You can grep them. You can version them in Git. If Ori disappears tomorrow, every file still works. That's what ownership actually means.
Memory is not a feature. It's the difference between a tool and a partner. And a partner's knowledge of you shouldn't live on someone else's server.