AI RESEARCH
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
arXiv CS.CL
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ArXi:2604.18292v1 Announce Type: cross Large language models are increasingly expected to serve as general-purpose agents that interact with external, stateful tool environments. The Model Context Protocol (MCP) and broader agent skills offer a unified interface for connecting agents with scalable real-world services, but