A zero-dependency multi-agent framework that routes each call to the cheapest capable AI model and enables agent communication via a K-addressed message bus, running as an MCP server.
A transparent, user-owned model router and orchestration control plane that enables AI workflow orchestration via an MCP server, with supervisor-based task decomposition and cross-provider routing.
Enables AI agents to delegate tasks to cheaper models via the OpenRouter API, with live pricing, cost-tier auto-selection, and policy-based delegation.
Intelligently routes AI tool calls (search, extract, browse) to the cheapest capable provider by default with automatic failover and audit receipts, enabling cost-effective agent workflows.