Persistent AI memory has a token problem. Every recall pulls prose back into a model's context window. Gnosem writes long memories twice — once as prose for you, once as a structured-facts line for the reading LLM — so cross-vendor recall costs less context.
A concrete walkthrough of running an MCP server entirely on the Cloudflare edge — how the JSON-RPC transport works, how Vectorize's metadata filter enforces tenant isolation, and how streamable-HTTP simplifies auth versus SSE.
A concrete walkthrough of publishing an MCP server to the Official MCP Registry, including the DNS TXT-record verification flow that lets you claim a namespace tied to your own domain.
Every AI vendor runs its own memory silo — Claude's memory doesn't reach ChatGPT, Cursor's doesn't reach Zed. Gnosem is one memory store, over the Model Context Protocol, that every MCP-capable client can read and write. Here's why it exists and how it's built on Cloudflare Workers, D1, Vectorize, and Workers AI.