This is just one example use case to illustrate the point, more and more agentic applications are going to surface and the use cases for sharing data across them is going to increase.

Knowledge bases are going to become a key infrastructure component for your interactions with AIs. There are many excellent knowledge base solutions available (many for free on github) and I would encourage you to check them out and find one that works for you (even if Forgetful doesn't) as I found from personal experience that interactions with my agents got easier and more rewarding once they knew more about me, my work and previous interactions that I had had with them or other AI systems.

What makes Forgetful different from other Memory based MCP services is that it is a rather opinionated view on how AI Agents such store and retrieve data.

Forgetful imposes the Zettelkasten principle when clients wish to record memories, that is each memory must be atomic (one concept per note). Along with the note (title and content), we also ask the client / agent to provide context around what it was doing when creating the note, along with keywords and tags. With this informati...