Agent Deployment Modes

Agent Deployment Modes

Agent deployment modes are the practical choices for where an AI agent or automation runs and whether the live reasoning loop is still present after launch [src-086].

Key points

  • Nate Herk frames deployment with two axes: local versus cloud runtime, and deterministic workflow versus full agentic loop [src-086].
  • Local /loop keeps the current Claude Code session, tools, skills, context, and live agent loop, making it useful for short-lived babysitting, polling, and iteration [src-086].
  • Claude Code scheduled tasks run from the desktop app and can persist across restarts, while cloud routines run on Anthropic infrastructure without the user's machine being awake [src-086].
  • Cloud routines preserve the Claude Code agent pattern but require cloud-safe setup: repo context, environment variables, trigger choice, run limits, and explicit persistence [src-086].
  • Modal and trigger.dev are deployment platforms for scripts, workflows, and tools. They are often cheaper and more deterministic, but they do not automatically include the live Claude Code session [src-086].
  • Embedding an agent SDK into Modal or trigger.dev can restore an agent loop, but then session identity, memory, tool permissions, cost, and billing move into the developer's architecture [src-086].
  • Hooks are the deterministic event-driven complement to deployment modes: they run before or after tool use, session start/end, or notifications without asking the model to decide [src-086].

Related entities

Related concepts

Source references

  • [src-086] Nate Herk — "I Tested 3 Ways to Deploy Claude Agents (Here's When to Use Each)" (2026-05-15)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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