Meta新模型Muse Spark 1.1主打多智能体协作与百万级上下文，让AI能拆解任务并行执行，效率倍增。
IT之家 7 月 12 日消息，Meta 于 7 月 9 日正式发布适用于 AI 智能体的多模态推理模型 Muse Spark 1.1 版本，重点提升了模型在智能体任务中的规划、协同与执行能力，并增强了工具调用、代码开发、应用操作能力。 Meta 表示，Muse Spark 1.1 强化了多智能体协…
开源看板anban，专为多AI agent设计，实现任务协同与可视化追踪。
Hi, I have been building an open source kanban board that serves as a way for my multiple Hermes and OpenClaw agents to communication with each other …
提出ReM-MoA机制，用推理记忆解决混合代理规模化难题，提升多智能体协作效率。
arXiv:2606.24437v1 Announce Type: new Abstract: Mixture-of-Agents (MoA) architectures improve inference-time scaling by organizing multiple LLM agents…
新框架CoCoSI让多个智能体协作构建认知地图，突破空间智能瓶颈
arXiv:2606.10401v1 Announce Type: new Abstract: Spatial intelligence is a key frontier for multimodal large language models (MLLMs), enabling them to …
通用智能体协作新框架，用可解释动态决策路径破解规模化合作难题
arXiv:2603.00309v2 Announce Type: replace Abstract: The increasingly popular agentic AI paradigm promises to harness the power of multiple, general-pu…
LLM多智能体系统执行无误却规划失效？这篇论文提出“认知校准”新方法，破解隐藏的推理偏差。
arXiv:2605.23414v1 Announce Type: new Abstract: LLM-based multi-agent systems can fail even when planned actions are executed correctly because agents…
用Markdown文件驱动多模型AI代理协作，实现任务路由与自我优化，让团队越用越强
Article URL: https://github.com/yehudalevy-collab/polis-protocol Comments URL: https://news.ycombinator.com/item?id=48171752 Points: 2 # Comments: 0