Wednesday 22 July, 2026
Gaps and requirements for interoperable multi-agent systems
Telecom networks are entering a new phase where traditional automation and isolated AI functions are no longer sufficient to meet the demands of scale, complexity, and flexibility expected in the 6G era. Future networks will operate across highly dynamic environments, spanning radio, core, cloud, edge, devices, and external service platforms, while simultaneously meeting strict performance, regulatory, and economic constraints. In this context, agentic systems, comprising autonomous, goal-oriented, and collaborative AI agents, are emerging as a foundational enabler for AI-native telecom networks.
This whitepaper investigates the current state of AI agents in telecom, identifies key gaps in existing agentic frameworks and protocols, and outlines the requirements for telecom-ready agentic systems. While recent advances in generative AI (GenAI) and large language models (LLMs) have accelerated adoption of AI agents across operations, most existing agentic solutions were designed for general-purpose, software-centric environments. When applied to telecom networks, they fall short in areas such as coordination at scale, real-time operation, semantic consistency, reliability, and interoperability across vendors and domains.
The paper highlights that telecom agents differ fundamentally from general-purpose agents. They interact with physical network infrastructure, operate under strict timing and safety constraints, and must comply with regulatory and standards requirements. Moreover, telecom use cases typically involve multiple specialized agents, operating across terminals, networks, and services, rather than isolated autonomous entities. This makes coordination, planning, and communication central architectural challenges.
To address these challenges, the paper defines a comprehensive set of requirements for telecom-ready agentic systems, covering multi-agent operation, QoS-aware communication, service continuity, task-oriented resource management, intent-based interaction, governance, security, extensibility, and interoperability. These requirements motivate the need for telecom-aware agentic protocols, which go beyond basic message exchange to support shared semantics, structured actions, constraint-aware planning, and efficient coordination.
Finally, the paper positions agentic protocols as a critical building block for future 6G networks and standardization efforts. By elevating goals, constraints, semantics, and coordination to protocol-level constructs, telecom operators and vendors can enable scalable, trustworthy, and interoperable multi-agent systems that align technical autonomy with business and regulatory objectives.
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