Total Recall
I run a lot of agents. Across projects, across tools, and across far more sessions than I can hold in my head. Every one of them started from zero.
New window, new agent, blank slate. I was the connective tissue between them, re-explaining the project, re-pasting the decisions we had already made, carrying context from one session into the next by hand.
The information was never the problem. My knowledge folder, my research, every session I had already run, all of it existed. My agents just could not reach the right piece at the moment they needed it.
The memory tools I tried made me the librarian: save this, tag that, prune the store, remember to ask.
Memory I had to operate by hand was just a second job with better branding.
So I built Total Recall. It connects all of it, my knowledge folder, every session, every project, across every agent I run, and it captures the work while it happens, on my machine. My agents remember on their own, proactively, without me asking.
Remembering turned out to be the easy part, and surfacing the hard one. A system that has stored everything about you still leaves you doing the retrieval. I wanted the one thing that matters to land in front of the agent before I think to ask for it. The decision that set the direction. The constraint that changed the plan. What another agent settled an hour ago in a different window. It shows up on its own, ranked, at the moment the work needs it.
That surfacing is the part I care about. Total Recall grew past memory into the layer that decides what your agents need to know, keeps itself honest when something changes, and lets every agent you run build on what the others already did. An intelligence layer for the way you actually work.