Agent Sandbox

Agentic AI

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

AI Agent

An autonomous software entity that perceives its environment, makes decisions, and takes actions to achieve specified objectives.

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.

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.

Standardised evaluation of AI agent capabilities across tasks like tool use, planning, reasoning, and task completion.

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

A meta-agent that coordinates, monitors, and manages a team of sub-agents, allocating tasks and synthesising results to fulfil complex multi-domain objectives.

The defined role, personality, and behavioural characteristics assigned to an AI agent for consistent interaction.

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

Safety constraints imposed on AI agents that limit their action space, prevent dangerous operations, enforce budgets, and require approval for irreversible decisions.

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

A persistent knowledge store that enables AI agents to accumulate and recall information across sessions, supporting long-term learning and personalised interactions.