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This paper introduces the Large Cancer Assistant (LCA), a model-agnostic orchestration framework for scalable clinical decision support in oncology that decouples multimodal data ingestion from AI inference using a 7-tuple architecture and Algorithmic Impermeability.
Omnigent is an open-source meta-orchestration framework that provides a unified orchestration layer over multiple AI agents like Claude Code, Codex, and Cursor. It enables seamless cross-device session switching, multi-agent collaboration, policy enforcement, and cloud sandbox execution.
This paper proposes an orchestration framework for financial agents that maps traditional algorithmic trading components to AI agents, demonstrating improved returns in stock and BTC trading compared to market benchmarks.