Beyond A2A and MCP: How LOKA’s Universal Agent Identity Layer changes the game

As AI agents become more integrated into daily life, the need for clear governance standards has never been more critical. Carnegie Mellon University researchers propose LOKA, an open-source framework that aims to enhance interoperability and ethical alignment among autonomous AI agents by establishing standardized protocols for identity, communication, ethics, and security. LOKA’s layered approach ensures agents can operate cohesively across diverse systems while maintaining accountability, receiving positive feedback from researchers and institutions as a promising new standard for AI governance.