Memory Augmentation

Multiple agents interacting cooperatively or competitively.

Coordination arising without explicit programming.

Models evaluating and improving their own outputs.

Framework for identifying, measuring, and mitigating model risks.

Balancing learning new behaviors vs exploiting known rewards.

Continuous cycle of observation, reasoning, action, and feedback.

Models trained to decide when to call tools.

Separates planning from execution in agent architectures.