This orchestrates ephemeral neural networks through MCP, letting Claude spawn tiny purpose-built FANN networks for specific reasoning tasks. Under the hood it's running a Rust-based neural framework compiled to WASM, so you get CPU-native inference without GPU dependencies. The swarm topology handles distribution across multiple networks working in concert. You'd reach for this when you want sub-100ms neural inference embedded in agentic workflows, like the 84.8% SWE-Bench benchmark suggests, without spinning up external model APIs. The MCP integration exposes network instantiation, topology configuration, and swarm coordination as tools Claude can call directly.
claude mcp add --transport stdio io.github.ruvnet-ruv-swarm -- npx -y ruv-swarm