AI Agent

Agentic AI

AI systems that can autonomously plan, reason, and take actions to achieve goals with minimal human intervention.

Autonomous Agent

An AI agent capable of operating independently, making decisions and taking actions without continuous human oversight.

Reactive Agent

An AI agent that responds to environmental stimuli with predefined actions without maintaining an internal model of the world.

Deliberative Agent

An AI agent that maintains an internal model of its world and reasons about actions before executing them.

BDI Architecture

Belief-Desire-Intention — an agent architecture where agents reason about beliefs, desires, and intentions to decide actions.

Agent Planning

The ability of an AI agent to formulate a sequence of actions to achieve a goal from its current state.

Tool Use

The capability of AI agents to interact with external tools, APIs, and services to extend their functionality.

Agent Hierarchy

An organisational structure where agents are arranged in levels, with higher-level agents delegating tasks to lower-level ones.

Supervisor Agent

An agent that oversees and coordinates the work of other agents, making high-level decisions and resolving conflicts.

Agent Sandbox

An isolated environment where AI agents can safely execute actions and experiment without affecting production systems.

Human-on-the-Loop

A system where humans monitor AI operations and can intervene when necessary, but don't approve every action.

Agent Autonomy Level

The degree of independence an AI agent has in making and executing decisions without human approval.

An AI agent that interacts with graphical user interfaces by perceiving screen content and executing mouse clicks, keyboard inputs, and navigation actions like a human operator.

A business process that is partially or fully executed by autonomous AI agents rather than human workers.

A system composed of multiple interacting AI agents that collaborate, negotiate, or compete to solve complex problems.

A catalogue of available tools and APIs that agents can discover and invoke, with descriptions, schemas, and authentication details enabling dynamic capability acquisition.

The strategic process of redesigning business operations around autonomous AI agents to achieve hyperscale efficiency.

Complex patterns and capabilities that arise from the interactions of simpler agent components or rules.

The sequential composition of multiple AI agents where each agent's output becomes the input for the next, creating automated pipelines for complex multi-stage processes.

An AI agent that formulates and pursues explicit goals, planning actions to achieve desired outcomes.