Carnegie Mellon University researchers propose LOKA, an open-source interoperability protocol for autonomous AI agents' identity and ethics.
LOKA aims to establish a common framework for communication, ethical reasoning, and compliance among AI agents.
It introduces a Universal Agent Identity Layer to assign a unique and verifiable identity to agents and enable accountability and ethical governance.
LOKA competes with other agentic protocols like A2A and MCP, but has received positive feedback for its potential to create trusted, accountable, and interoperable agent ecosystems.