Short term memory is the context window, and it's a relatively short hop from the current state of affairs to here's an MCP server that gives you access to a big queryable scratch space where you can note anything down that you think might be important later, similar to how current-gen chatbots take multiple iterations to produce an answer; they're clearly not just token-producing right out of the gate, but rather are using an internal notepad to iteratively work on an answer for you.

Or maybe there's even a medium term scratchpad that is managed automatically, just fed all context as it occurs, and then a parallel process mulls over that content in the background, periodically presenting chunks of it to the foreground thought process when it seems like it could be relevant.

All I'm saying is there are good reasons not to consider current LLMs to be AGI, but "doesn't have long term memory" is not a significant barrier.