AI agent

An AI agent is a program that perceives its environment, processes information, and takes actions to achieve specific goals. These agents can range from simple rule-based bots to advanced models that use machine learning and generative AI to adapt over time.

AI agents consist of:

• Goals – The objectives or tasks the agent is designed to achieve.
• Tools – External systems, APIs, or software the agent can use to complete tasks.
• Guardrails – Rules or limits that ensure the agent acts safely and within intended boundaries.
• Memories – Storage of past interactions or data that help the agent understand context and make better decisions.
• Large Language Models (LLMs) – The core of the agent that interprets information, decides which goals to pursue, and determines which tools to use to achieve them.

AI agents are used in areas such as virtual assistants, travel recommendations, gaming, and automation systems. In multi-agent systems, several AI agents cooperate to solve complex problems more effectively than a single one could.

The development of AI agents involves using pre-trained LLMs, which have already learned language and reasoning capabilities.