Anemoi: A Semi-Centralized Multi-agent System Based on Agent-to-Agent Communication MCP server from Coral Protocol
Xinxing Ren, Caelum Forder, Qianbo Zang, Ahsen Tahir, Roman J. Georgio, Suman Deb, Peter Carroll, \"Onder G\"urcan, Zekun Guo

TL;DR
Anemoi introduces a semi-centralized multi-agent system with direct agent communication, enhancing collaboration, scalability, and performance over traditional planner-dependent MAS designs, demonstrated by superior benchmark results.
Contribution
It presents a novel semi-centralized MAS architecture utilizing agent-to-agent communication, reducing dependency on a central planner and enabling real-time structured collaboration.
Findings
Achieved 52.73% accuracy on GAIA benchmark with small LLM as planner.
Surpassed open-source baseline OWL by +9.09% under same conditions.
Demonstrated improved scalability and collaboration in multi-agent tasks.
Abstract
Recent advances in generalist multi-agent systems (MAS) have largely followed a context-engineering plus centralized paradigm, where a planner agent coordinates multiple worker agents through unidirectional prompt passing. While effective under strong planner models, this design suffers from two critical limitations: (1) strong dependency on the planner's capability, which leads to degraded performance when a smaller LLM powers the planner; and (2) limited inter-agent communication, where collaboration relies on prompt concatenation rather than genuine refinement through structured discussions. To address these challenges, we propose Anemoi, a semi-centralized MAS built on the Agent-to-Agent (A2A) communication MCP server from Coral Protocol. Unlike traditional designs, Anemoi enables structured and direct inter-agent collaboration, allowing all agents to monitor progress, assess…
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Taxonomy
TopicsMobile Agent-Based Network Management · Underwater Vehicles and Communication Systems
