Overview
Agentic6G aims to deliver an autonomous multi-agent Agentic AI framework for future AI-native 6G networks, enabling intelligent agents to collaborate across the device–edge–cloud continuum. The project introduces the AgenticOps lifecycle paradigm to support the deployment, orchestration, coordination, and continuous optimisation of distributed AI agents in dynamic network environments. By combining autonomous decision-making, self-organising capabilities, and trustworthy AI-driven network management, Agentic6G will contribute to scalable, resilient, secure, and adaptive 6G ecosystems.
Objectives
Autonomous Multi-Agent Architecture:
Design and develop a distributed multi-agent Agentic AI architecture capable of autonomously composing, coordinating, and optimising services across the device–edge–cloud continuum, enabling intelligent operation in future Beyond-5G and 6G environments.
Dynamic AI Agent Generation:
Develop a unified framework for the dynamic generation, secure onboarding, and lifecycle management of AI agents, allowing specialised agents to be created, deployed, and integrated according to evolving network and service requirements.
Intent-Based Network Intelligence:
Develop intelligent agentic tools that translate high-level service intents into autonomous network actions while supporting secure network exposure, proactive cyber protection, self-healing, and resilient operation of both multi-agent systems and future 6G infrastructures.
AgenticOps Framework:
Introduce an AgenticOps framework that supports the deployment, orchestration, monitoring, and continuous lifecycle management of multiple LLM-based Agentic AI agents, enabling scalable and trustworthy operation across heterogeneous environments.
Hybrid AI-Native Orchestration:
Develop a hybrid AI-native orchestration framework that enables autonomous service workflow composition, intelligent collaboration between distributed agents, and efficient knowledge sharing to support adaptive and context-aware network operation.
Validation Through Real-World Use Cases:
Integrate and validate the Agentic6G framework through representative proof-of-concepts and large-scale demonstration activities, showcasing its benefits across telecom network operations and AI-driven vertical applications, including swarm-intelligent robotics.
Impact, Standardisation and Open Source:
Maximise the scientific, technological, and societal impact of Agentic6G through dissemination, collaboration with the SNS JU community, contributions to SDOs, and participation in open-source initiatives supporting the future of AI-native 6G networks.
eBOS Role in the Project
eBOS Technologies contributes to Agentic6G by leading the project’s dissemination and communication activities, helping to maximise the visibility, outreach, and impact of its results. Drawing on its strong experience in European research and innovation projects, eBOS will develop and manage the project’s communication channels, including the website, social media presence, newsletters, press releases, promotional materials, and visual identity assets.
With the support of the consortium, eBOS will promote Agentic6G’s key outcomes to a wide range of audiences, including the scientific community, telecom and ICT industry, infrastructure providers, vertical sectors, cybersecurity stakeholders, policymakers, the SNS JU ecosystem, and the wider public. Through targeted outreach and communication activities, eBOS will ensure that the project’s advances in autonomous multi-agent AI for future 6G networks are presented in a clear, accessible, and impactful way, supporting awareness, engagement, and long-term visibility across Europe’s digital and connectivity ecosystem.
Co-funded by the European Union under Grand Agreement No 101290342. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Smart Networks and Services Joint Undertaking. Neither the European Union nor the granting authority can be held responsible for them.
