Agentops

AgentOps is a Web and API lifecycle management platform for enterprises and development teams deploying autonomous AI agents in production, focused on observability, governance, and operational control.

Key capabilities include:

• End-to-end tracing and replay for each agent step, including LLM calls, tool usage, timing, and error/success signals, plus session replay and time travel debugging to reconstruct decisions.
• Real-time monitoring of agent runs with dashboards, anomaly detection signals, and operational tooling that supports incident response actions like freezing runs or rolling back changes.
• Token and cost visibility across single and multi-agent workflows, including token counts, per-model consumption metrics, and cost tracking for 400+ LLMs.
• Safety and governance controls such as role-based permissions, least-privilege access patterns, refusal rules, and approval workflows for safer rollouts and compliance.

Pricing: Freemium. Basic is $0/month (free up to 5,000 events); Pro starts at $40/month; Enterprise is custom.

Notable for its agent-agnostic SDK (supports OpenAI, CrewAI, AutoGen, and other frameworks) and its use of open standards like OpenTelemetry, making it easier to instrument and operate multi-step, multi-agent systems at scale.