StableReported 2026-10-02 12:00

DAGent: Evaluate-then-Grow Planning for Deep Research Agents

DAGent introduces a new approach to planning for deep research tasks using a directed acyclic graph (DAG) that allows for parallel execution and adaptive plan adjustments as new evidence emerges.

Who it touches

1DAGent
← part ofFact
2DAGRPOTechnology
requires →Fact
3orchestratorComponent
competes with →Fact
4Plan-then-PatchTechnology
uses →Fact
5Directed acyclic graph (DAG)-based multi-agent systemsTechnology
uses →Fact
6GPT-5Model

Evidence

AarXiv cs.CLInstitution2026-10-02 12:00
We propose DAGent, a DAG-based multi-agent framework with Evaluate-then-Grow incremental planning
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AarXiv cs.CLInstitution2026-10-02 12:00
Abstract: Deep research tasks require agents to navigate large knowledge spaces, synthesize evidence across many sources, and adapt their plans as findings eme…
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