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[ARTICLE · art-59445] src=pub.towardsai.net ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

I Built a Team of AI Agents That Manage Themselves — Here’s the Orchestrator Pattern Behind It

A developer built a hierarchical multi-agent system that autonomously plans research questions into subtasks, runs specialist agents in parallel, detects weak answers, and retries them. The system uses an orchestrator pattern to manage a team of AI agents that coordinate themselves without human intervention.

read1 min views1 publishedJul 14, 2026
I Built a Team of AI Agents That Manage Themselves — Here’s the Orchestrator Pattern Behind It
Image: Pub (auto-discovered)

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A tested, running hierarchical multi-agent system that plans a research question into subtasks, runs specialist agents in parallel, catches its own weak answers, and retries them — with every log in this article captured from a real execution

Estimated reading time: 18–22 minutes

Table of Contents #

  • Introduction
  • Problem Statement
  • Background
  • Core Concepts
  • Technology Deep Dive
  • Architecture
  • Mini Project: A Multi-Agent Research Orchestrator
  • Implementation
  • Code Walkthrough
  • Testing
  • Performance
  • Limitations
  • Best Practices
  • Common Mistakes
  • Production Considerations
  • Future Improvements
  • Conclusion
  • Further Reading
  • Official References

All code in this article is organized as a single runnable project. Copy any block into the matching file path and it will run…

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