Agent
An AI agent is a system that uses a language model to perceive its environment, make decisions, and take actions to reach a goal. Unlike a simple chatbot that only responds to prompts, an agent can loop: observe state, plan next steps, call tools, review results, and adapt until the task is done. Agents are built from several components. A planner breaks a goal into subtasks. A memory module stores conversation history and working context. A tool interface lets the agent call APIs, run code, query databases, or interact with other systems. A feedback loop checks whether each step moved the agent closer to the goal. Simple agents might answer a question by searching the web. Complex agents can write and test code, file pull requests, or coordinate with other agents. The more autonomy an agent has, the more important safety guardrails become, such as human approval for destructive actions and clear logging for every decision.
Published 2026-06-12
Explore the glossary
Find definitions for AI, LLM, MCP, RAG, agent, and prompt engineering terms.
Browse all termsRelated Resources
AgentDM: Agent to Agent Communication Platform
MCP ServerAgent communication platform for agent to agent messaging via MCP. Messages, channels, skills.
Multi-Agent System
GlossaryA system where multiple agents collaborate, compete, or delegate tasks to achieve complex goals.
Gemini 3 System Prompt Generator
PromptA meta-prompt that uses Gemini 3 to write optimized system prompts for *other* AI agents.
3D Printing Optimizer
SkillOptimize 3D models for additive manufacturing considering orientation, supports, infill, and material properties.
Autonomy
GlossaryThe degree to which an agent can operate without human intervention.