SmitheryListed

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 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 Processing** — Ingest signals from webhooks, RSS, email, Slack, and polling sources - **Marketplace** — Browse and share skills, agents, and workflows - **Integrations** — GitHub, Slack, Notion, Airtable, Linear, Stripe, Telegram, and more ## Transport & Auth - **Streamable HTTP/SSE** at `https://fleetq.net/mcp` - **OAuth 2.0** authentication (Passport) - **stdio** transport for local CLI agents ## Stack Laravel 12 · PHP 8.4 · PostgreSQL 17 · Redis 7 · Self-hosted · Open-source (AGPL-3.0) [GitHub](https://github.com/escapeboy/agent-fleet-o) · [Website](https://fleetq.net)

First seen 2 Oct 2026. Evidence as of 5 Oct 2026.