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Research questionHow can heterogeneous AI agents interoperate across frameworks, tools, and execution environments?Agents developed in different technical ecosystems often cannot exchange requests, context, or results directly. This fragmentation makes cross-system coordination depend on custom integrations between otherwise compatible agents and services.
AI
AI Agents
Multi-agent Systems
Technology
Latest papersRecent research connected to this question, newest first.The Natural Language Interaction Protocol and Standard for AI AgentsThe source concerns a standards-based application-layer protocol for agent interaction. It describes semantic message envelopes carried over HTTP/HTTPS, WebSocket, and AMQP, along with gateways that adapt between agents, context stores, ontologies, tools, enterprise services, and heterogeneous underlying protocols. It also discusses security-by-design, a reference implementation, representative applications, adoption signals, and relationships to other emerging agent protocols.research paper · Sep 3, 2026
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