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Build Long-running AI agents that pause, resume, and never lose context with ADK

This tutorial demonstrates how to build a long-running AI agent using the Agent Development Kit (ADK) that can handle multi-week workflows. It covers three key architectural shifts: durable memory schemas, event-driven resumption, and multi-agent delegation. A complete New Hire Onboarding Coordinator Agent is implemented with a state machine, persistent SQLite sessions, and webhook endpoints.

SourceHacker News AIAuthor: smooke
Build Long-running AI agents that pause, resume, and never lose context with ADK
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Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Stateless agents break in long-running workflows due to context pollution, token cost explosion, and reasoning hallucinations.
  • ADK solves these with explicit state machines, persistent session storage (SQLite/Cloud SQL), and event-driven wake-up via webhooks.
  • The tutorial walks through a six-state onboarding agent that delegates IT tasks to a sub-agent and pauses for days while waiting for human actions.
  • All source code is available on GitHub and designed to scale to production with Cloud SQL.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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