STACKPLANNER: When Agents Learn to Forget
Opening — Why this matters now Multi-agent systems built on large language models are having a moment. From research copilots to autonomous report generators, the promise is seductive: split a complex task into pieces, let specialized agents work in parallel, and coordinate everything with a central planner. In practice, however, these systems tend to collapse under their own cognitive weight. ...