What Makes an AI Agent Agentic? Embodied vs Disembodied AI

What actually makes an AI agent agentic? Whether it is embodied inside a 3D world or disembodied across apps, browsers, and software, the core idea is similar: the agent needs context, memory, access to tools or actions, and a way to decide what to do next. A disembodied agent might search the web, call APIs, use software, or trigger workflows. An embodied agent can also understand a 3D environment, navigate through it, and interact with objects inside that world. The difference is not just where the agent appears. It is also the environment it can perceive and the actions available to it. Convai’s internal Actions IO framework describes this as the relationship between what reaches the agent and what the agent is allowed to change. Build agentic AI experiences with Convai: https://convai.com #Convai #AgenticAI #EmbodiedAI #AIAgents #AICharacters #AIActions #ToolCalling #ConversationalAI #GameAI #XR