AgentX

AgentX is an enterprise platform that orchestrates, evaluates, traces, and observes AI workforces. It helps manage the full AI agent lifecycle, from orchestration and evaluation to monitoring and auto-improvement, so teams can ship AI agents to production with confidence. The platform supports multi-agent workflows and provides logs and traces for each run, with a focus on production readiness.

AgentX emphasizes a lifecycle approach: build, evaluate, and deploy. It enables drag-and-drop multi-agent workflows, evaluation against test sets with regression tracking, and one-click deployment to various channels. The system integrates with familiar frameworks and offers runtime monitoring to ensure behavior remains within expected bounds.

AgentX offers a framework-agnostic tracing and evaluation stack that stays outside the agent’s own code or prompts. It records agent activity, scores changes against datasets before shipping, and proposes improvements through an Improve loop. The architecture supports self-hosted deployments and uses a centralized trace store and dataset model for evaluation and improvement.

AgentX provides capabilities for security and deployment controls, including cloud or on-prem options, SOC 2 controls, audit trails, RBAC, and governance documentation. It also describes multiple pricing plans, including free and paid tiers, with enterprise options and white-label deployments for clients and agencies.