Agent Handoff

An agent handoff is the transfer of context, files, or tasks from one AI agent to another so work can continue without losing project intent.

An agent handoff keeps a workflow moving when a task needs a different tool, model, or specialist. In Framer, this can mean passing site context from a design-focused agent to a coding or CMS-focused agent while preserving the user’s goals and constraints.

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.

  • Subagents

    AI

    Subagents are narrowly scoped AI assistants that can be invoked by a primary agent to perform specific subtasks more efficiently.

  • Non-interactive Mode

    AI

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

  • Automations

    AI

    Automations are recurring or event-based executions that let AI agents perform routine work automatically under predefined instructions.

  • AI Layer Renaming

    AI

    AI Layer Renaming automatically assigns meaningful layer names based on content and structure. This improves handoff, keeps files consistent with a Design System, and complements reusable Component Properties.