AI RESEARCH
Meta-Agent: From Task Descriptions to Verified Multi-Agent Systems
arXiv CS.AI
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ArXi:2605.25233v1 Announce Type: new AI agents are increasingly used to solve complex, multi-step tasks, but existing multi-agent frameworks remain brittle as workflows grow in scale and depth. Small errors at intermediate stages can propagate through agent interactions, while insufficient grounding and weak verification mechanisms further limit reliability. We present Meta-Agent, a two-phase framework that automatically constructs and executes specialized multi-agent systems from natural-language task descriptions.