AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

We present Agent Lightning (opens in new tab), a flexible and extensible framework that enables seamless agent optimization for any existing agent framework. Here agent optimization includes various ...

Production-ready MCP server for multi-agent AI research with OpenRouter integration. Fully compliant with MCP Specification 2025-06-18 and prepared for November 2025 spec updates.

Abstract: This paper proposes an energy-field-based hierarchical multi-agent reinforcement learning method (HES-COMA) for evaluating individual agent contributions and learning efficient policies in ...

Abstract: As electricity consumption in commercial and residential buildings continues to rise, reducing energy costs presents an increasing challenge. Heating, ventilating, and air-conditioning (HVAC ...