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SKIMIX

Multi-agent framework for inference-time scaling via dynamic skill mixture and retrieval

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SKIMIX is a research framework that enables inference-time scaling through multi-agent collaboration using skill mixture strategies. It combines embedding-based skill retrieval, submodular routing algorithms, and adaptive skill evolution to orchestrate specialized agents for complex reasoning tasks. Designed for researchers exploring scalable multi-agent architectures and dynamic task decomposition.

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multi-agentopen-sourceframeworkorchestrationautonomous