AI RESEARCH
OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction
arXiv CS.AI
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ArXi:2604.25602v2 Announce Type: new Deploying production-ready multi-agent systems (MAS) in complex industrial environments remains challenging due to limitations in scalability, observability, and autonomous evolution. We present OxyGent, an open-source framework driven by two core novelties: a unified Oxy abstraction and the OxyBank evolution engine. The unified abstraction encapsulates agents, tools, LLMs, and reasoning flows as pluggable atomic components, enabling Lego-like scalable system composition and non-intrusive monitoring. To enhance observability, OxyGent.