AI Agent Platforms Explained: SaaS vs. Self-Hosted vs. Open-Source

The three AI agent platform models compared: SaaS, self-hosted, and open-source. Understand the trade-offs on cost, privacy, and control before choosing your platform.

Frequently Asked Questions

What is an AI agent platform?
An AI agent platform is the software infrastructure that enables organizations to deploy, manage, and operate AI agents at scale. It includes agent creation tools, execution runtime, integrations with business systems, management and governance features (RBAC, audit logs), and monitoring dashboards.
What is the difference between SaaS and self-hosted AI agent platforms?
SaaS AI agent platforms run on the vendor's cloud infrastructure — you access them via a browser and pay subscription fees. Self-hosted platforms run on your own servers or private cloud, giving you full data control and usually lower costs at scale. The trade-off is that self-hosted requires more initial setup but eliminates data exposure and per-seat fees.
Is an open-source AI agent platform free?
Open-source platforms are free to use (no licensing cost), but you pay for the infrastructure to run them. Compute costs for a production deployment with 50 users run $150–400/month — significantly less than comparable SaaS licensing. Fully air-gapped deployments with self-hosted models can approach zero ongoing cost beyond hardware.
Which AI agent platform is best for a large enterprise?
Large enterprises need self-hosted deployment for data sovereignty, RBAC for governance, and enterprise-grade SLAs. cowork.ink Business is purpose- built for this: deploys on Kubernetes, supports 200 agents/node, includes full RBAC and audit logs, and is backed by the open-source GoGogot runtime.
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