DAGent: Evaluate-then-Grow Planning for Deep Research Agents
Deep research tasks require agents to navigate large knowledge spaces, synthesize evidence across many sources, and adapt their plans as findings emerge. Directed acyclic graph (DAG)-based multi-agent systems suit this setting because they support parallel execution and isolate each sub-task within a focused dependency context. Yet existing DAG-based agents instantiate a task-level plan before…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
