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Replit CEO Amjad Masad describes building a self-driving, self-correcting shared semantic layer over databases, conversations, and docs, making all data queryable and joinable so anyone at Replit can ask complex questions without data scientists.
This paper introduces Mycelium, an active shared workspace that automatically connects researchers and AI agents to enable networked intelligence in team science, evaluated in a multi-omics campaign.
N71 is a product that provides a shared context for all your AI agents, enabling better coordination and consistency.
This paper introduces Decentralized Language Models (DeLM), a framework for multi-agent systems that uses parallel agents with a shared verified context to improve test-time scaling and reduce costs, achieving state-of-the-art results on SWE-bench Verified and LongBench-v2.