Overview
AI systems that can autonomously plan, reason, and take actions to achieve goals with minimal human intervention.
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.
Research Agent
Agent FundamentalsAn AI agent that autonomously gathers, synthesises, and analyses information from multiple sources to produce comprehensive research reports on specified topics.
Agentic RAG
Agent Reasoning & PlanningAn advanced retrieval-augmented generation pattern where an agent dynamically decides what information to retrieve, from which sources, and how to refine queries iteratively.
Agent Memory Bank
Agent Reasoning & PlanningA persistent knowledge store that enables AI agents to accumulate and recall information across sessions, supporting long-term learning and personalised interactions.
Agent Orchestration
Enterprise ApplicationsThe coordination and management of multiple AI agents working together to accomplish complex workflows.
Agent Guardrailing
Safety & GovernanceSafety constraints imposed on AI agents that limit their action space, prevent dangerous operations, enforce budgets, and require approval for irreversible decisions.
Agent Competition
Multi-Agent SystemsA multi-agent scenario where agents pursue conflicting objectives, leading to adversarial or game-theoretic interactions.
Human-in-the-Loop
Safety & GovernanceA system design where human oversight and approval are required at critical decision points in automated processes.