Agent Context

Agent context is the project information, user intent, constraints, and prior conversation an AI agent uses to make accurate changes.

Agent context helps an AI system understand what it is editing and why. Strong context can include the selected page, existing CMS structure, current design patterns, and instructions from the user, which reduces generic or mismatched output.

Related terms

Related terms

  • On-page Editing

    Framer

    A workflow where content is edited directly in the context of the live page layout rather than in a separate form view. This improves editorial speed and reduces context switching.

  • 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.

  • Slash Commands

    AI

    Slash Commands are user-invoked commands that start with a slash and execute predefined workflows, tools, or agent behaviors.

  • Approval Modes

    AI

    Approval Modes are policy settings that control which operations an agent can run automatically and which require explicit human approval.

  • Non-interactive Mode

    AI

    Non-interactive Mode executes agent workflows in a command-driven context without live chat interactions, useful for automation and pipelines.

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