There's a problem that every developer who works with AI agents eventually runs into: the AI doesn't remember you.
You spend twenty minutes at the start of every session re-explaining your stack, your preferences, the constraint you discovered last week, the mistake you almost made twice. You know you have to do this. The AI has no memory of your last conversation. Every session, it starts fresh.
This is the biggest hidden cost of working with AI agents. It's not the hallucinations or the wrong answers — those are visible failures you can debug. The bigger cost is the invisible overhead: the context-building you do every single time, the lessons that get re-learned, the preferences that get ignored, the mistakes that happen again because the AI didn't know they were mistakes.
LearnBoard is the tool I built to solve this.
The core idea: structured memory as a file
