In this paper, we present a structured framework for understanding and building
the Agentic Web. We trace its evolution from the PC and Mobile Web eras and
identify the core technological foundations that support this shift. Central to our
framework is a conceptual model consisting of three key dimensions: intelligence,
interaction, and economics. These dimensions collectively enable the capabilities of
AI agents, such as retrieval, recommendation, planning, and collaboration.
Weanalyzethearchitecturalandinfrastructuralchallengesinvolvedincreatingscal-
able agentic systems, including communication protocols, orchestration strategies,
and emerging paradigms such as the Agent Attention Economy. We conclude by
discussing the potential applications, societal risks, and governance issues posed by
agentic systems, and outline research directions for developing open, secure, and in-
telligent ecosystems shaped by both human intent and autonomous agent behavior.
A continuously updated collection of relevant studies for agentic web is available at:
https://github.com/SafeRL-Lab/agentic-web
