MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems

TL;DR - MANTA enables LLM multi-agent systems to adapt their communication topology during inference, restructuring collaboration when the current organization proves insufficient. It achieves a 74.0 average across five benchmarks, beating the strongest baseline by 5.8 percentage points.

• Initializes task-conditioned topologies using prior structural experience.
• Monitors collaboration traces and applies bounded structural updates during deployment.
• Can alter roles, links, execution order, information visibility, and validation pathways while preserving agent budgets and task interfaces.
• Outperforms single- and multi-agent baselines across information seeking, tool use, planning, workflow execution, and mathematical reasoning.