Design question, blunt answers welcome. The idea: memory sits in the cloud and every AI tool you use connects to it over MCP, so ChatGPT, Claude, Cursor or a scheduled agent all read and write the same context. Instead of a blank notes file, you pick a template for your setup and it gives you tables already shaped for it. A coding agent template might come with decisions (with a status like still valid or replaced), tasks and run logs. A client work template might have one table per client with tone, contacts and what's off limits. You can add or change fields whenever you want. Everything is searchable by meaning, by keyword, or by a field like client or status. Files stay where they are and get saved as links with a short description, so they turn up in search. The memory tools check at the start of a session and save at the end. What I can't decide: Does a template actually help, or does it push people into a structure that doesn't fit, and they end up fighting it? If you had to write the template for your own setup, what tables or fields would be in it? What's the first thing you'd expect to break? Background: I used to burn hours re-briefing AI tools on the same project, so I'm building this. No name, no link, I want the holes first. If it fit how you work, would you pay for it, or would you rather keep a markdown file?   submitted by   /u/Asly97 [link]   [comments]