XClaw is an infrastructure layer for orchestrating AI agents at scale. Rather than treating agents as isolated tools, it maps them into a semantic topology — a live network where nodes (models, skills, APIs) are wired together based on meaning and capability, not just static configuration. Routing decisions happen in real time based on semantic matching, so tasks find the right execution path automatically. The platform renders this network as an interactive 3D graph, making it possible to visualize how work flows across agents, debug routing failures, and inspect node relationships at a glance. It's aimed at developers and teams building complex multi-agent pipelines who need more than a linear chain of prompts — particularly useful when workflows span many specialized skills and need dynamic, context-aware delegation.