In Preparation

Multi-Agent Orchestration for Autonomous Task Execution

A. Pranav, [Co-authors TBD]

NeurIPS Workshop on Agent Systems•2024•DOI: TBD

ABSTRACT

This paper presents a novel framework for coordinating multiple autonomous agents through event-driven orchestration. We demonstrate how specialized agents can collaborate on complex tasks while maintaining clear boundaries and handoff protocols. Our framework, inspired by research from Manus AI, Devin, and Claude Code, introduces a tiered agent architecture with clear responsibilities. Agents are organized into six tiers: Orchestration, Development, Quality, Perspective, Reasoning, and Testing. Through event-driven coordination and shared state artifacts, agents can work in parallel on complex tasks while maintaining consistency and quality. We demonstrate the effectiveness of this approach on real-world software development tasks, showing significant improvements in both speed and output quality.

KEY CONTRIBUTIONS

→Novel multi-agent coordination model with event-driven orchestration
→Six-tier agent architecture with clear separation of concerns
→Handoff protocol with progress tracking and artifact sharing
→Quality gates with code review, accessibility, and performance checks
→Empirical evaluation on real-world development tasks

BIBTEX

@inproceedings{2024-multi-agent,
  title={Multi-Agent Orchestration for Autonomous Task Execution},
  author={Pranav, A. and Co-authors},
  booktitle={NeurIPS Workshop on Agent Systems},
  year={2024},
  note={In Preparation}
}