Overview
The coordination and management of multiple AI agents working together to accomplish complex workflows.
More in Agentic AI
Agent Supervisor
Agent FundamentalsA meta-agent that coordinates, monitors, and manages a team of sub-agents, allocating tasks and synthesising results to fulfil complex multi-domain objectives.
Goal-Oriented Agent
Agent FundamentalsAn AI agent that formulates and pursues explicit goals, planning actions to achieve desired outcomes.
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.
Agent Planning
Agent FundamentalsThe ability of an AI agent to formulate a sequence of actions to achieve a goal from its current state.
Human-in-the-Loop
Safety & GovernanceA system design where human oversight and approval are required at critical decision points in automated processes.
Agent Competition
Multi-Agent SystemsA multi-agent scenario where agents pursue conflicting objectives, leading to adversarial or game-theoretic interactions.
Data Analysis Agent
Agent FundamentalsAn AI agent that interprets datasets, generates visualisations, performs statistical analysis, and produces actionable insights through autonomous exploratory data investigation.
Agent Observability
Agent FundamentalsThe ability to monitor, trace, and understand the internal states, decisions, and actions of AI agents in production.