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The Stack / Automation
Dynamiq
For teams genuinely running multi-agent systems in production, Dynamiq's orchestration-plus-observability angle addresses the real problem: agents you can't see are agents you can't trust. Most operators aren't there yet — earn this seat after your first agents outgrow n8n.
The job in the stack
The agent-ops seat: building, orchestrating, and monitoring multi-agent AI systems with observability built in.
Pricing
| Plan | Price | Notes |
|---|---|---|
| Free / Dev | $0 | Build and experiment tier |
| Pro / Team | ~$49+/mo | Pending fresh verification |
| Enterprise | custom | On-prem, compliance |
Pricing verified 2026-01-15. Plans change — the source of truth is Dynamiq's own pricing page.
Models & versions
- Agent orchestrationMulti-agent workflows, RAG pipelines, tracing and evaluation
The honest read
What works
- +Observability and tracing — see what your agents actually did
- +Multi-agent orchestration with guardrails, not just chains
- +Self-hostable for data-boundary-sensitive teams
What breaks
- −Overkill until you're truly running agents in production
- −Smaller ecosystem and community than the big workflow tools
- −Technical seat — expects engineering comfort
Use it for
- →Teams productionizing multi-agent workflows with audit needs
- →RAG-heavy internal systems that need evaluation loops
- →Engineering-led operations building an agentic workforce deliberately
Skip it if
- ×You're automating tasks, not orchestrating agents — n8n first
- ×No engineer on the team — this seat assumes one
Questions operators ask
?When do I graduate from n8n to Dynamiq?
When your agents need supervision, not just scheduling — multiple agents coordinating, outputs that need evaluation, and 'what did it do and why' as a compliance question. Until then, n8n's agent nodes are the right-sized tool.
What changed
- Added to the stack (agent-ops seat). Pricing seeded from January 2026 baseline, pending fresh verification by the update loop.
Give Dynamiq a job
The agent-ops seat: building, orchestrating, and monitoring multi-agent AI systems with observability built in.
Try Dynamiq →Affiliate link — same price for you, keeps the stack maintained.
Alternatives with different jobs
n8n
AutomationThe heavy-automation seat: complex, high-volume workflows and AI agent pipelines, self-hosted or cloud.
Stack AI
AutomationThe internal-AI-apps seat: drag-and-drop LLM workflows — document processing, internal assistants, approval chains — deployed to your team.