FleetQ
**AI Agent Mission Control** — orchestrate AI agents, experiments, workflows, crews, and more through 200+ MCP tools across 31 domains. ## Key Capabilities - **Agent Management** — Create, configure, and monitor AI agents with roles, goals, skills, and tool assignments - **Experiment Pipeline** — 20-state machine for running AI experiments with scoring, planning, building, approval, and execution stages - **Visual Workflows** — DAG-based workflow builder with conditional br
**AI Agent Mission Control** — orchestrate AI agents, experiments, workflows, crews, and more through 200+ MCP tools across 31 domains. ## Key Capabilities - **Agent Management** — Create, configure, and monitor AI agents with roles, goals, skills, and tool assignments - **Experiment Pipeline** — 20-state machine for running AI experiments with scoring, planning, building, approval, and execution stages - **Visual Workflows** — DAG-based workflow builder with conditional branching, human tasks, dynamic forks, and do-while loops - **Multi-Agent Crews** — Assemble agent teams with shared context and coordinated execution - **Skills & Tools** — Manage reusable AI skills and MCP server/tool integrations - **Human-in-the-Loop** — Approval workflows, human tasks with SLA tracking and escalation - **Budget & Cost Tracking** — Credit ledger, spend forecasting, and automatic pause on budget exceeded - **Knowledge & Memory** — Semantic search across knowledge bases and agent memory - **Signal
