Shypd.aiThe largest open index of AI toolsLatentMAS is a multi-agent systems tool that enables latent collaboration. It moves agent communication from token space into the model’s latent space, offering efficient multi-step reasoning and stable generation.
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LatentMAS is a multi-agent reasoning framework designed to enhance the efficiency and stability of multi-agent systems. Unlike traditional methods that rely on lengthy textual reasoning traces, LatentMAS facilitates agent collaboration by passing latent thoughts directly through their working memory within the model's latent space. This innovative approach significantly reduces token usage by 50-80% and achieves major wall-clock speedups of 3-7 times compared to standard Text-MAS or chain-of-thought baselines. The framework is compatible with any HuggingFace model and optionally supports vLLM backends for faster inference. It also features training-free latent-space alignment for stable generation, making it a general and powerful technique for developing advanced multi-agent AI applications.
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