Foundations for Proactive AI

Fluso is a private AI workspace designed to enhance productivity by managing tasks such as calendar organization and presentation building through an innovative memory layer called Chronograph. Chronograph transforms communication streams into a temporal memory graph, turning documents into events, entities, tasks, and deadlines to streamline task management and improve workflow efficiency. This system allows agents to trace tasks across various channels with structured paths, unlike traditional semantic search methods. Kshana, a small language model post-trained on Qwen3.5-4B, supports this process by efficiently processing vast amounts of communication data. The development of Kshana involved generating a comprehensive training dataset, resulting in significant improvements in task quality and a reduction in hallucinations. Fluso's memory system is enhanced by auto-scaling containers and batch ingestion, making it cost-effective and scalable. Future developments include building subagents for real-time memory traversal to further enhance the agent's ability to retrieve relevant information quickly, making Fluso a unique and efficient tool for productivity.

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