Qualixar OS: A Universal Operating System for AI Agent Orchestration
arXiv cs.AI / 4/10/2026
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Key Points
- Qualixar OS is proposed as an application-layer “universal operating system” for orchestrating heterogeneous AI agent systems across 10 LLM providers, 8+ agent frameworks, and 7 transports.
- The work introduces defined execution semantics for 12 multi-agent topologies and a universal compatibility layer (“Claw Bridge”) that supports MCP/A2A plus a 25-command Universal Command Protocol.
- It adds an LLM-driven “Forge” team design engine with historical strategy memory, alongside a three-layer model-routing system that combines Q-learning, multiple routing strategies, and Bayesian POMDP with dynamic multi-provider discovery.
- For quality and reliability, the paper describes a consensus-based judging pipeline with Goodhart detection, JSD drift monitoring, and mechanisms to address the “alignment trilemma,” plus an attribution system using HMAC signing and steganographic watermarks.
- The authors report validation via 2,821 test cases and claim strong performance on a custom 20-task suite (100% accuracy, about $0.000039 mean cost per task), with a production-oriented dashboard and visual workflow builder included.
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