打造通用AI代理调度操作系统，统一管理多模型多框架协作。
Qualixar OS: A Universal Operating System for AI Agent Orchestration
- 设计12种代理拓扑结构与动态路由机制，实现跨平台协同。
- 20任务测试达100%准确率，单任务成本仅3.9美分。
- 适合需要统一调度多AI代理的研发团队和系统架构师。
我们提出Qualixar OS，首个面向通用AI代理编排的应用层操作系统。区别于内核级方案（AIOS）或单一框架工具（AutoGen、CrewAI），Qualixar OS为涵盖10个LLM提供商、8+代理框架及7种通信方式的异构多代理系统提供完整运行时支持。贡献包括：(1) 12种多代理拓扑执行语义，如网格、森林、网状与创造者模式；(2) Forge——基于LLM的团队设计引擎，具备历史策略记忆；(3) 三层模型路由，结合Q-learning、五种策略与贝叶斯POMDP，支持动态多提供商发现；(4) 基于共识的评估流水线，含Goodhart检测、JSD漂移监控与对齐三难问题应对；(5) 四层内容溯源机制，采用HMAC签名与隐写水印；(6) 通过Claw Bridge实现通用兼容，支持MCP与A2A协议，配备25命令通用指令协议；(7) 24标签生产级仪表盘，含可视化工作流构建器与技能市场。系统在2,821个测试用例、217种事件类型及8个质量模块中验证通过。在自研20任务评估套件中，平均成本为每任务$0.000039，准确率达100%。源码开放，许可协议为Elastic License 2.0。
原文摘要 · Abstract (English)
We present Qualixar OS, the first application-layer operating system for universal AI agent orchestration. Unlike kernel-level approaches (AIOS) or single-framework tools (AutoGen, CrewAI), Qualixar OS provides a complete runtime for heterogeneous multi-agent systems spanning 10 LLM providers, 8+ agent frameworks, and 7 transports. We contribute: (1) execution semantics for 12 multi-agent topologies including grid, forest, mesh, and maker patterns; (2) Forge, an LLM-driven team design engine with historical strategy memory; (3) three-layer model routing combining Q-learning, five strategies, and Bayesian POMDP with dynamic multi-provider discovery; (4) a consensus-based judge pipeline with Goodhart detection, JSD drift monitoring, and alignment trilemma navigation; (5) four-layer content attribution with HMAC signing and steganographic watermarks; (6) universal compatibility via the Claw Bridge supporting MCP and A2A protocols with a 25-command Universal Command Protocol; (7) a 24-tab production dashboard with visual workflow builder and skill marketplace. Qualixar OS is validated by 2,821 test cases across 217 event types and 8 quality modules. On a custom 20-task evaluation suite, the system achieves 100% accuracy at a mean cost of $0.000039 per task. Source-available under the Elastic License 2.0.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。