AgentX

AgentX is an agent-building platform that takes a workflow from canvas to production without requiring separate tooling for evaluation or deployment. The core builder is drag-and-drop: you wire together agents, attach tools, configure memory, add branching logic, and set human handoff points. When the workflow is ready, you run it against test sets inside the same platform — catching hallucinations and broken tool calls before users see them — then deploy to API, Slack, web widget, email, or voice in a single action.

The differentiating commitment is the evaluate step sitting between build and deploy. The vendor states this explicitly: most agent platforms stop at ‘build,’ and AgentX built the next two steps first. That means regression tracking is native, not bolted on. When an agent update breaks something a previous version handled correctly, you find out in the test run — not in a support ticket.

The platform fits solo builders shipping production agents, internal operations teams replacing manual processes, and AI agencies that need to deliver and maintain agents under their own brand. White-label plans cover the agency case. Where it breaks: there is no self-hosted option, so any team with data-residency or air-gap requirements cannot use this. The visual model also has a practical ceiling — when workflows require deep conditional branching across four or more agents, the canvas becomes the constraint and teams either simplify the workflow or move logic outside the builder entirely.

AgentX also offers a managed delivery track where their team scopes, builds, and runs a process on your behalf — described as fixed scope with clear success criteria. Deployment targets in the builder include API, Slack, web widget, email, and voice. The platform reports 150,000+ users and provides a free entry point that requires no credit card, with paid tiers unlocking higher usage and white-label capability.