Another banger paper from Google. If you build memory for long-horizon agents, this one is worth your time. (bookmark it) Really nice to see how knowledge graphs are being explored in creative ways for agents. This has lots of implications for self-evolving agents. Technical summary below: Agents usually pick actions by generating over an accumulating history, which leaves the procedural knowledge implicit. As trajectories get longer they lose track of objectives, call tools out of order,…