> ## Documentation Index
> Fetch the complete documentation index at: https://launchdarkly.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent graphs: taming multi-agent architecture

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<View title="Developer" />

<View title="Federal docs" />

<View title="EU docs" />

<BlogAuthor date="April 1, 2026" avatar="/images/authors/scarlettattensil.png" alt="Portrait of Scarlett Attensil." name="by Scarlett Attensil" />

Wrestling unruly AI agents? This tutorial shows you how to set up a real-world agent workflow using AgentControl configs. You'll learn battle-tested patterns for taming multi-agent architecture.

<Check>
  **AI Configs are called AgentControl configs**

  LaunchDarkly AI Configs have been rebranded as AgentControl and AgentControl configs. Some references in this topic may be outdated.
</Check>

## Agent Graphs: Taming Multi-Agent Architecture

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## What you'll learn

* Swapping models on the fly without redeploying
* Real-time monitoring of your agent workflows
* Integrating with frameworks like LangGraph and Strands
* Building maintainable multi-agent systems

## Next steps

For the full written tutorial with code examples, read [Beyond n8n for Workflow Automation: Agent Graphs as Your Universal Agent Harness](/docs/tutorials/agent-graphs).

Check out the [code repo on GitHub](https://github.com/launchdarkly-labs/devrel-agents-tutorial) to follow along.