Agent frameworks & orchestration
ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model
ALTK-Evolve reports that guidelines distilled from an agent’s own task attempts can raise τ²-bench reliability without updating model weights.
Why it matters: For agent builders, the results suggest prompt-level memory can improve benchmark performance without fine-tuning, but guideline volume may need domain-specific tuning and carries added input-token cost.