If you were building autonomous workflows, you were probably suffering from "framework fatigue."
Every time you switched between IDEs like Cursor, terminal agents like Claude Code, or browser-based assistants, you had to reconfigure your tools, re-authenticate your keys, and re-index your files. You were manually duct-taping agents to a dozen different local MCP (Model Context Protocol) servers, vector databases, and static configuration files.
It was tedious, it was fragile, and it did not scale.
I got tired of managing a fragmented stack of isolated AI assistants. I wanted a "motherboard" for AI agents—a unified gateway that abstracted vector storage, memory, and OAuth connectors behind a single endpoint.
So, I built Memorify.






