AI & LLMs
AI agent
Also known as: Agent
An AI agent is a system that uses a language model to decide and take actions - calling tools, running steps in a loop - toward a goal, rather than just answering once.
An AI agent wraps a language model in a loop: it observes a goal, decides on an action (often calling an external tool or API), sees the result, and repeats until the task is done. This is the difference between a single answer and autonomous, multi-step work.
Agents rely on tool interfaces to act on the world. Protocols like MCP standardize how an agent discovers and calls those tools.
In GraphCanon
Agent frameworks are one of the busiest categories in the graph. GraphCanon itself is built to be queried by agents at runtime through its MCP server and JSON API.
See also
Related terms
Last reviewed 2026-07-09