Agent Audit Trail

An agent audit trail is a record of AI-assisted changes, decisions, and updates that helps teams review what happened in a project.

An agent audit trail makes AI work accountable. It can include changed content, branch activity, review notes, or publishing history so teams can understand what was edited and roll back or refine work when needed.

Related terms

Related terms

AGENTS.md

AI

AGENTS.md is a project instruction file that gives AI coding agents task context, workflow rules, and constraints so agent behavior aligns with team standards.

Agent Skills

AI

Agent Skills are modular capability definitions that package domain-specific guidance, tools, and patterns for recurring agent tasks.

Model Context Protocol (MCP)

AI

Model Context Protocol (MCP) is an open integration protocol that enables Framer Server API.AI agents to discover and use external tools, resources, and actions through MCP servers. If you want to learn more about how Framer integrates with MCP, check out the

MCP Server

AI

An MCP Server is a service that implements the Model Context Protocol, making external capabilities available to compatible AI agents.