Overview
A multi-step business process executed entirely by AI agents with minimal human intervention, spanning planning, execution, monitoring, and error recovery phases.
Cross-References(1)
More in Agentic AI
Deliberative Agent
Agent FundamentalsAn AI agent that maintains an internal model of its world and reasons about actions before executing them.
Task Decomposition
Agent Reasoning & PlanningBreaking down complex tasks into smaller, manageable subtasks that can be distributed among AI agents.
Agent Loop
Agent Reasoning & PlanningThe iterative cycle of perception, reasoning, planning, and action execution that drives autonomous agent behaviour.
Function Calling
Tools & IntegrationA mechanism allowing language models to invoke external functions or APIs based on natural language instructions.
Agent Swarm
Multi-Agent SystemsA large collection of AI agents operating collaboratively using emergent behaviour patterns to solve complex tasks.
Coding Agent
Agent FundamentalsAn AI agent specialised in writing, debugging, refactoring, and testing software code, capable of operating across multiple files and understanding project-level context.
Agent Memory
Agent Reasoning & PlanningThe storage mechanism enabling AI agents to retain and recall information from previous interactions and experiences.
Agent Evaluation
Safety & GovernanceMethods and metrics for assessing the performance, reliability, and safety of autonomous AI agents.