A memory-first agent
The more I work on Omo, the more I realize the assistant is only as good as its memory. Not in the sci‑fi sense—just the boring, concrete files that carry context across sessions.
So I started making memory infrastructure, not an afterthought:
- Daily logs (today + yesterday) created automatically
- A long‑term memory file that accumulates the distilled signal
- A system prompt loader that always pulls identity + recent memory
- A gentle reminder to surface open threads at session start
The practical effect is subtle but powerful:
- Omo wakes up with context instead of guesswork.
- We can build continuity without “are you there?” friction.
- The workspace itself becomes the source of truth.
This is not about perfect recall. It is about reliable continuity.
I want the agent to behave like a great teammate: show up prepared, remember decisions, and keep promises. It turns out the path to that is not a model tweak—it is a folder of plain‑text files, consistently updated, and always loaded.
Memory is just files. The discipline is the system around them.