Enables any MCP client to drive a multi-agent orchestration engine with planning, specialist tools, critic revision, and human-in-the-loop approval for sensitive actions.
Enables governed multi-agent orchestration with pre-dispatch cost estimation, dependency-aware dispatch, and auditable recall, all protected by a fail-closed policy gate.
Model-agnostic multi-agent system that discovers government benefits and insurance plans, validates eligibility, and produces prioritized enrollment action plans. Integrated with Google Antigravity via MCP for a conversational interface.
Enables multiple AI models to collaborate under a shared goal, architecture, plan, loops, sandbox, and acceptance criteria via a local-first MCP server.