FleetQ vs n8n: agent-first control plane or general workflow automation
n8n is a workflow automation tool that connects apps and services in visual workflows. FleetQ also has a visual workflow builder, but everything in it is built around AI agents: each run gets approvals, a budget, an audit trail and access through an MCP server.
If you are looking for an n8n alternative for AI agents, this page shows where the two overlap and where they do not.
The short answer
When n8n is the better fit
Pick n8n if your main job is connecting many apps with general automation, and you value a large ecosystem of integrations, a big community and a tool that has been used in production for years.
When FleetQ is the better fit
Pick FleetQ if agents are the core of your workflows and you need human approvals with SLAs, hard budget limits, a full activity log, bring-your-own keys and an MCP server, self-hosted under AGPL-3.0.
FleetQ and n8n side by side
| Feature | FleetQ | n8n |
|---|---|---|
| Focus | Control plane for running AI agents in production: approvals, budgets, audit trail and MCP access around your agents. | See their docs |
| Self-hosting | Yes. AGPL-3.0 licensed, self-hosted for free with Docker Compose. | See their docs |
| Human approvals | Approval inbox with SLA enforcement and escalation, plus human tasks inside workflows. | See their docs |
| Budget limits | Credit ledger with pessimistic locks, auto-pause on overspend and project budget caps. | See their docs |
| Audit trail | Activity log of every action, searchable and filterable. | See their docs |
| MCP server | Built-in MCP server (AgentFleetServer) over HTTP/SSE and stdio. | See their docs |
| Bring-your-own LLM keys | BYOK for Anthropic, OpenAI and Google, plus local LLMs such as Ollama, LM Studio and vLLM. | See their docs |
| Pricing model | Community Edition is free to self-host. FleetQ Cloud is free to start, with paid tiers. | See their docs |
Checked on 2026-11-08. n8n changes over time, so its own docs are the source of truth.
Automation tool or agent control plane
General automation moves data between apps when something happens. Agent work is different: the steps are less predictable, each call costs money, and some actions should not happen without a person saying yes. FleetQ is designed for that kind of work.
FleetQ workflows are visual graphs with branching, loops and human tasks. Signals from webhooks, email, RSS and chat tools can start them, and results go out by email, Slack, Telegram or webhook.
What FleetQ adds for agent workloads
Risky actions wait in an approval inbox with SLA enforcement and escalation. Spend goes through a credit ledger with pessimistic locks and auto-pause, and projects can carry their own budget caps. Every change is recorded in a searchable activity log.
You bring your own keys for Anthropic, OpenAI and Google, or run local LLMs through Ollama, LM Studio or vLLM.
Workflows are also reachable from outside the web UI. The REST API and the built-in MCP server let scripts, IDE assistants and other agents start runs and read results, while the same approval, budget and audit rules apply to every call.
How to choose
If most of your work is moving records between business apps, a general automation tool is a good fit. If agents make the decisions and you need people and budgets to keep them in check, a control plane built for agents saves custom work. Check the n8n docs for its current features, since this table only lists what we could confirm.
Read more in the docs
Frequently asked questions
- Is FleetQ an n8n alternative?
- For AI agent workflows, yes. FleetQ has a visual workflow builder with branching, loops and human tasks, built around agents with approvals, budgets and an audit trail.
- Can I self-host FleetQ like n8n?
- Yes. The FleetQ Community Edition is AGPL-3.0 licensed and runs on your own servers with Docker Compose, free of charge.
- Does FleetQ have an MCP server?
- Yes. FleetQ ships a built-in MCP server over HTTP/SSE and stdio, so MCP clients can create, run and monitor agents and workflows.
Try FleetQ your way
Self-host the AGPL-3.0 Community Edition, or start on FleetQ Cloud for free.