The question assumes these tools compete. They don't. AgentKit builds conversational agents. n8n automates workflows. But neither governs multi-agent operations at enterprise scale. Neither provides the modules, permissions, and real-time oversight enterprises actually need to deploy autonomously. That's not a gap. It's the entire challenge.
What Each Tool Actually Does
AgentKit (OpenAI)
A developer framework for building conversational AI agents with built-in RAG (retrieval-augmented generation), evaluation tools, and guardrails.
Built for: Prototyping agents. Developer-first tool for web or API.
Lacks: Multi-channel deployment, enterprise permissions, governance dashboards, production monitoring.
n8n
A visual workflow automation platform with 400+ pre-built integrations (Salesforce, Slack, Google Sheets, Stripe, etc.).
Built for: Connecting systems and orchestrating data flows. Triggered by webhooks, schedules, or events—not conversations.
Lacks: Agentic intelligence, conversational interfaces, RAG, contextual memory.
Silia
An enterprise platform for orchestrating agentic automation. Governs agents across channels, enforces permissions, tracks metrics, and deploys modular tools at scale.
Built for: Production-ready agent deployment for enterprises. One or many agents, governed centrally, operating autonomously with oversight.
Why They're Not Competitors
These tools operate at different layers of the stack.
AgentKit = Developer framework for building agents
n8n = Workflow engine for connecting systems
Silia = Enterprise platform for governing automation
The confusion comes from assuming "agent" means the same thing everywhere. It doesn't.
Building an agent (AgentKit) ≠ Deploying agents across an enterprise with governance, permissions, and monitoring (Silia).
Connecting apps in workflows (n8n) ≠ Orchestrating autonomous agents that make decisions, escalate intelligently, and operate across channels (Silia).
Different problems. Different solutions.
How Silia Uses Them (Transparency)
We don't compete with AgentKit or n8n. We use them.
AgentKit's RAG capabilities can power parts —along other RAG modules — of our retrieval-augmented generation. OpenAI built world-class infrastructure for AI reasoning—we leverage it where it makes sense.
n8n handles workflow orchestration and integrations. When an agent needs to trigger a process across multiple systems, n8n connects the dots.
But neither provides what enterprises need to scale agentic automation: multi-channel deployment, governance, Service Desk for human oversight, real-time metrics, and modular architecture.
A Real Scenario: Insurance Renewals
The Challenge:
An insurance company receives 10,000 renewal inquiries per month. 70% are simple ("When does my policy renew?" "What's my premium?"). 30% require human judgment.
AgentKit alone:
Can build a conversational agent to answer questions. But: only works on web chat, no permissions, no real-time monitoring, no human handoff.
n8n alone:
Can automate sending renewal reminders and updating CRM. But: can't handle conversational inquiries, no contextual understanding, can't reason or adapt.
Silia with AgentKit + n8n:
Agent (powered by AgentKit RAG) answers 70% of inquiries across WhatsApp, web, and voice
Workflows (via n8n) trigger policy lookups, send confirmations, update Salesforce
Service Desk routes 30% of complex cases to human operators with full context
Governance dashboard shows resolution rates, escalation patterns, and agent performance
Metrics reveal peak inquiry times—client adjusts staffing
Result:
70% of inquiries resolved autonomously
30% escalated intelligently with full context
Average resolution time drops from 8 minutes to 45 seconds
Customer satisfaction increases 34%
When to Use What
Use AgentKit if:
You're a developer prototyping a conversational agent. You need RAG, evals, and guardrails out of the box. You're comfortable building deployment, governance, and monitoring yourself.
Use n8n if:
You need workflow automation across hundreds of apps. You're connecting Salesforce to Slack to Google Sheets. You don't need conversational intelligence.
Use Silia if:
You're deploying agentic automation at enterprise scale. You need multi-channel agents, governance, real-time monitoring, human-in-the-loop workflows, and measurable ROI.
Most enterprises don't need to choose. They need all three—working together.
Questions to Ask Your Vendor
If a vendor says they provide "agentic automation," ask:
Can your agents operate across WhatsApp, voice, and email—not just web chat?
Do you provide role-based permissions and audit trails?
Can human operators monitor live conversations and intervene in real-time?
Do you track agent performance metrics across all channels?
Is your platform modular, or do I pay for capabilities I don't need?
Do you help determine where agents create ROI, or just deploy them everywhere?
If the answer is no, you're buying a tool—not a platform.
The Bottom Line
The future of enterprise automation isn't about one tool winning.
It's about the right tools working together—agent frameworks, workflow engines, and enterprise orchestration platforms—each doing what it does best.
AgentKit builds agents.
n8n connects systems.
Silia governs operations.
We use the best AI infrastructure available. We focus on what enterprises actually need: governance, channels, modules, and ROI.
Not another pilot. A system.
Where noise ends, Silia begins.
Keep exploring with us.
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