MetaCogAgent: A Metacognitive Multi-Agent LLM Framework with Self-Aware Task Delegation

In three linesMetaCogAgent is a multi-agent LLM framework where each agent evaluates task-capability alignment via a Metacognitive Self-Assessment Unit before execution. The system combines verbalized uncertainty and historical capability profiles to route tasks to best-suited agents. On MetaCog-Eval benchmark (700 tasks), it achieves 82.4% accuracy (+8.7% vs baselines) with 5% fewer API calls than AutoGen.

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