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  [๐ŸŒ Project Page](https://recursivemas.github.io) | [๐Ÿ’ป Code](https://github.com/RecursiveMAS/RecursiveMAS) | [๐Ÿ“„ Paper](https://arxiv.org/abs/2604.25917)
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- We introduce the RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion.
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  RecursiveMAS treats a multi-agent system as a unified recursive computation, where heterogeneous agents iteratively exchange, refine, and evolve their latent states across recursion rounds. In the Sequential-Light setting, the Planner Agent is responsible for producing the initial reasoning plan, which is then passed to subsequent agents through lightweight RecursiveLink modules for further refinement and solution generation.
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  ## Model Details
 
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  [๐ŸŒ Project Page](https://recursivemas.github.io) | [๐Ÿ’ป Code](https://github.com/RecursiveMAS/RecursiveMAS) | [๐Ÿ“„ Paper](https://arxiv.org/abs/2604.25917)
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+ We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion.
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  RecursiveMAS treats a multi-agent system as a unified recursive computation, where heterogeneous agents iteratively exchange, refine, and evolve their latent states across recursion rounds. In the Sequential-Light setting, the Planner Agent is responsible for producing the initial reasoning plan, which is then passed to subsequent agents through lightweight RecursiveLink modules for further refinement and solution generation.
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  ## Model Details