arXiv cs.MA· Ping-Lin Kuo, Suman Navaratnarajah, Christian Frey, Gresa Shala, Josif Grabocka·· 13 小时前AI 评分34
Muffin：面向异步 AI 智能体的共享内存缓冲区
Muffin - A Shared Memory Buffer for Asynchronous AI Agents
AI 导读
研究者提出异步智能体框架 MUFFIN，用共享内存缓冲区让多智能体异步交换中间发现、各自保留私有推理，由编排器按推理需求路由查询。在 20 项基准设置中 17 项取得最高准确率，相比多智能体辩论准确率提升 19.2 个百分点、token 用量减少 77.4%，且无需共享完整推理轨迹。
正文 · 原文
Abstract:The rise of Agentic AI systems has changed the landscape of artificial intelligence by enabling strong reasoning capabilities through specialized multi-agent interaction with structured self-reflection. However, in target-driven reasoning tasks, single- and multi-agent systems are often on par in terms of performance gains. A major challenge is that failures often arise from an ineffective exchange of critical information during inter-agent interaction and coordination. Different from existing multi-agent debate paradigms that rely on synchronous turn-taking and sharing information across different agents, we propose an inter-agent protocol based on shared Memory bUFFer INference - referred to as MUFFIN - in an asynchronous agentic framework. In the first step, an orchestrator routes queries based on their reasoning demands and delegates demanding ones to a multi-agent setting, where a shared memory buffer provides asynchronous exchange of intermediate findings while an agent's private reasoning remains local. Our experiments show that our framework Muffin outperforms established competitors, achieving the best accuracy in 17 out of 20 of our benchmark settings, and provides a better quality-cost trade-off than multi-agent debate: Muffin improves accuracy by 19.2 accuracy points while using 77.4% fewer tokens, without requiring full-trace sharing.
| Subjects: | Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2610.31355 [cs.AI] |
| (or arXiv:2610.31355v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.31355 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Ping-Lin Kuo [view email]
[v1]
Thu, 22 Oct 2026 14:36:46 UTC (3,916 KB)
来源：arXiv cs.MA · arxiv.org