MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems
- Published
- Source
- arXiv
- Paper number
- 785
- Field
- AI / General
- arXiv ID
- 2607.28527
Key points
- We propose structural self-improvement, which changes the communication topology in real time while solving the task instead of fixing it before execution.
- It reuses structures learned from past experience before a task starts and partially revises them when problems arise during execution.
- Across five benchmarks, it averages 74.0 points, 5.8 points higher than the previous best.
- Rather than simply increasing the number of agents, it improves structure by rewiring connections or adding verification steps.
- Meta-level operations, meaning structure planning and revision, account for only about 12% of total token usage, so it is efficient.
- It also has the lowest token usage among multi-agent systems.
Paper links
External research summaries. These are not HDATF publications or measured product results.