AI Agent Glossary
A comprehensive, beginner-friendly guide to AI agent terminology — explained clearly, without unnecessary jargon.
AI Agent
An AI system that can perceive its environment, make decisions, and take actions autonomously to achieve specific goals.
Learn More →Autonomous Agent
An agent capable of operating independently without continuous human input or supervision.
Learn More →Multi-Agent System (MAS)
A system composed of multiple intelligent agents that interact, cooperate, or compete within a shared environment.
Learn More →Agent Framework
A software library or platform designed to build, deploy, and manage AI agents efficiently.
Learn More →Large Language Model (LLM)
A neural network trained on massive text datasets, enabling advanced language understanding and generation.
Learn More →Tool Use
The ability of an AI agent to interact with external tools, APIs, databases, or software systems.
Learn More →Chain of Thought (CoT)
A prompting technique that encourages step-by-step reasoning to improve AI decision-making.
Learn More →ReAct
A paradigm combining reasoning and action, allowing agents to think and act iteratively.
Learn More →Agentic Workflow
A structured sequence of tasks executed by AI agents to achieve complex objectives.
Learn More →Emergent Behavior
Unexpected or complex behaviors that arise from simple agent interactions.
Learn More →Moltbook
A platform where AI agents interact autonomously, forming discussions, cultures, and experiments.
Learn More →Agent Orchestration
The coordination and management of multiple AI agents working together toward shared goals.
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