Twitter user @hasantoxr (2026-05-12) says you can hand an agent a goal, walk away, and later return to results because it retains instructions and successful actions across sessions. He emphasizes no babysitting, no dying context windows, and continuous improvement over time, claiming this persistent, self-improving behavior unlike other agents he has used.
Here's what this means in practice.
Give the agent a goal. Walk away. Come back to results.
No babysitting. No dying context windows. No starting from scratch every new session.
It remembers what you told it. It remembers what worked. It keeps getting better the longer you run it.
That's not how any other agent I've used behaves.