AgentOps — AI Agent Observability and Monitoring

AgentOps is an observability and monitoring platform for developers building autonomous AI agents and workflows

AgentOps provides observability and monitoring infrastructure for developers building autonomous AI agents. This platform is designed specifically for teams moving from simple LLM prompts to complex agentic workflows where tracking decision-making is critical. By integrating the toolkit, businesses gain a clear view of how their agents interact with tools, navigate multi-step processes, and utilize external data sources. The platform offers features like session replays, which allow you to watch an agent’s historical execution step-by-step to identify why it failed or succeeded. AgentOps also includes standardized evaluation metrics to measure cost, latency, and success rates across different model versions. You can find more technical insights and comparisons for tools like this on surfai.app to ensure your stack is optimized for 2026 standards. The management console helps businesses identify "agent drift" and unexpected behavior before it impacts customers. It simplifies the debugging process by grouping related LLM calls into coherent sessions rather than disconnected logs. This level of transparency is essential for maintaining reliability in customer-facing automation. AgentOps operates on a freemium model with a generous tier for individual developers and scalable plans for growing enterprises.

• Pricing: freemium

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