Experimenting with a multi-agent system without leaders or messaging

Reddit r/AI_Agents Papers

Summary

The author details an experimental multi-agent orchestration framework using a directed acyclic graph (DAG), concentrating intelligence in planner and replanner components while keeping worker agents mechanical. They are seeking community feedback, benchmarks, and existing research to validate its practicality against conventional message-passing approaches.

I’ve been experimenting with a multi-agent orchestration model designed by my agent. The core concept is a WorkItem DAG — basically an ordered dependency graph similar to a structured todo list. \- A Planner generates the execution DAG \- Worker agents execute work items mechanically along the graph \- If unexpected situations happen, a RePlanner patches the DAG and creates a new execution path So agents themselves are intentionally “dumb”. Most of the intelligence is concentrated in planning and replanning. This feels very different from most current multi-agent architectures I’ve seen. I’m currently building this system based mostly on intuition, and honestly I’m not even sure whether this architecture will actually work well in practice. I’m curious: Has anyone here experimented with similar DAG-based orchestration models? How did they perform compared to message-passing systems? Are there good benchmarks or evaluation methods for testing whether this kind of architecture is actually effective? Would love to hear thoughts or related papers/projects.
Original Article

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