Agent Memory, Reasoning Upgrades, and the Push for Reliable Autonomy

New Benchmark Exposes How Badly Agents Fail at Long-Horizon Tasks

Researchers released a benchmark specifically targeting multi-step, long-horizon tasks where current agents consistently fall apart. If you're building anything that requires agents to maintain context and execute reliably over many steps, this is the failure map you need.