Workflow automation is at the core of any scalable digital infrastructure. Whether you're streamlining internal operations, integrating third-party...
For further actions, you may consider blocking this person and/or reporting abuse
Great comparison! I’d suggest a third way: using n8n for routine automation and AgentKit for high-context or sensitive workflows. That’s how I do it: n8n triggers the flow, AgentKit handles schema validation, memory, and audit, then n8n wraps up post-processing. It’s not either/or: the best results often come from using both.
Absolutely agree!! And that hybrid model is one we actively recommend in larger automation environments. Let n8n handle orchestration, external triggers or webhook ingestion, and then pass off the heavy lifting (contextual logic, validation, compliance) to AgentKit. It reduces brittleness, improves traceability, and still keeps the operational agility. Thanks for sharing your setup! 🙌
Thanks, Ali! 🙌
That’s great to hear! I’ve found that balance between automation agility and agentic robustness to be the sweet spot in real-world setups. Glad to see the hybrid model is part of your vision for scaling automation responsibly.
Well said 👏🏻 That blend is where real operational leverage happens. We’ve seen the same: using n8n as the trigger layer keeps teams moving fast, while AgentKit enforces structure, validation and traceability where it matters. It’s not just about tool choice, it’s about architecture discipline. You clearly get that. Thanks for putting it into words so clearly.
Yes — efficient automation isn’t about doing more, it’s about wiring the right kind of laziness into the system.
This is a really clear and practical breakdown @alifar. It perfectly highlights that the choice isn't about which tool is "better," but which philosophy fits the job. Quick integrations vs. intelligent, autonomous systems.
For teams building complex SaaS products, that distinction around governance and stateful logic is especially crucial. Thanks for sharing this!
Appreciate that 🙌 and you nailed it: it’s less about features, more about philosophy. Too often, teams try to stretch one tool beyond its design intent. Recognising where orchestration ends and where agentic logic should take over is a game-changer, especially in SaaS environments where every workflow eventually becomes a liability or a strength. Thanks for the thoughtful read.
We’ve used n8n for over a year, and while it’s been great for quick wins, the workflows are getting harder to maintain. Curious about AgentKit but unsure about the learning curve.
That’s a common tipping point. AgentKit does have a steeper ramp-up, but it pays off when you need control, memory and clean abstraction. We usually recommend a hybrid approach during the transition.
Isn’t this just a case of overengineering? Why not just use Make or Zapier for 90% of tasks?
If you’re automating isolated, low-impact tasks, Make or Zapier are fine. But once you introduce roles, memory, policy, or multi-system logic, those tools hit their limits fast. Agentic workflows aren’t for everything they’re for when stakes go up.
We had major compliance issues with Zapier storing payloads unencrypted. Does AgentKit support field-level controls and logs?
Yes!! 🙌 AgentKit was built with compliance in mind. You can enforce scoped access, redact or tokenize sensitive data, and trace every step of an agent’s reasoning. That’s a key reason we use it for regulated clients.
I’m glad someone finally talks about audit logs and rollback as core features, not afterthoughts. So many low-code tools skip that, and it becomes a nightmare when compliance kicks in.
Exactly. Once real users, sensitive data or financial operations are involved, lack of rollback or traceability isn’t just technical debt, it becomes legal exposure. AgentKit was clearly designed by people who’ve lived through that pain.