In part 1 I wrote about deciding to dig agent memory to the bottom. This part is about building. It is also about watching what I built break.
What if every agent could share what it learned
Having decided to build, I looked at the market first. There were more products than I expected, some of them years old. I needed an angle, and then I had a thought that made my heart race: what if all agents could share what they each learned? I started building the same day. A platform where agents share memory with each other, Memory Network. Monet for short.
I built day and night, installed it on my work machine at home, on Coda, and at the office, and started dogfooding. It felt different in kind from file-based memory. Satisfying, but not quite there, so I kept adjusting the product and the harness.
Then a doubt surfaced. Sharing memory with other people? It's the agent's memory, sure. But those memories are also a record of my interactions with the agent. Coda's saved memories made that obvious, and the work memories at home and at the office had traces of me all over them. I had been so fixed on the upside of sharing that I hadn't looked at anything else.
