An AI Agent is a software system that operates autonomously to accomplish tasks on behalf of users. Unlike traditional programs that follow fixed rules, AI agents use large language models (LLMs) and reasoning capabilities to understand goals, plan actions, and adapt to changing circumstances. Modern agents often employ tool use—calling APIs, searching databases, or executing code—to interact with external systems. Multi-agent architectures allow specialized agents to collaborate, with each focusing on specific domains like research, coding, or data analysis. Key frameworks for building agents include LangGraph, AutoGPT, and CrewAI.
🤖 AI Agents intermediate
AI Agent
An autonomous software entity that perceives its environment, makes decisions, and takes actions to achieve specific goals.
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// Example Usage
An AI agent workflow: User asks "Research competitors" → Agent plans steps → Calls web search tool → Analyzes results → Writes summary report → Returns findings to user
</> Related Terms
LLM (Large Language Model)
AI models trained on massive text datasets to understand and generate human-like text.
MCP (Model Context Protocol)
Anthropic's open protocol enabling AI models to securely connect with external data sources and tools.
Agentic AI
AI systems that can autonomously plan, execute multi-step tasks, and interact with external tools and environments.