Perplexity Details Brain Memory Architecture and Agent API Testing

Perplexity detailed its Brain memory system for AI agents, which organizes past interactions into a dynamic wiki to improve task accuracy and recall. Brain uses token-level memory stored outside the model, with background agents updating and validating information. Tests showed Brain-enhanced sessions improved correctness by over 9% and recall by nearly 9%, while using fewer tokens.