Overview
Safety constraints and boundaries that limit agent behaviour to prevent harmful, unintended, or out-of-scope actions.
More in Agentic AI
Agent Communication Language
Multi-Agent SystemsStandardised protocols and languages used for inter-agent communication in multi-agent systems.
Deliberative Agent
Agent FundamentalsAn AI agent that maintains an internal model of its world and reasons about actions before executing them.
Model-Based Agent
Agent FundamentalsAn AI agent that maintains an internal representation of the world to inform its decision-making process.
Plan-and-Execute Pattern
Agent Reasoning & PlanningAn agentic architecture where a planning module decomposes goals into ordered tasks and a separate executor carries them out, enabling complex multi-step problem solving.
Chain of Agents
Enterprise ApplicationsA workflow pattern where multiple specialised agents are sequentially connected, with each agent's output feeding the next.
ReAct Framework
Agent Reasoning & PlanningReasoning and Acting — a framework where language model agents alternate between reasoning traces and action execution.
Agent Chaining
Agent FundamentalsThe 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.
Agent Handoff
Agent FundamentalsThe transfer of a task or conversation from one specialised AI agent to another based on skill requirements, escalation rules, or domain boundaries.