AgentOps

AgentOps is an open-source AI agent observability and debugging platform (Freemium; free up to 5,000 events/month, Pro from $40/month) that gives developer teams real-time monitoring, cost tracking, and session replay for LLM-powered agents. AgentOps emerged as one of the first purpose-built observability platforms for AI agents, addressing a critical gap in the developer toolchain. As AI agents moved from research prototypes to production systems, developers discovered that traditional application monitoring tools were fundamentally inadequate for tracking the non-deterministic, multi-step reasoning workflows that define agentic AI. AgentOps was designed from the ground up to solve this problem, providing specialized instrumentation that understands the unique execution patterns of autonomous agents.

At its core, AgentOps offers a remarkably low-friction integration path. Developers can instrument their agent applications with just two lines of code—an import statement and an initialization call. This simplicity belies the depth of telemetry the platform captures: every LLM call, tool invocation, agent decision, and inter-agent communication is automatically recorded and organized into coherent session timelines.

The platform's signature capability is time travel debugging, which allows developers to replay agent sessions step by step, examining the exact sequence of LLM calls, tool uses, and decision points that led to any given outcome. This is particularly valuable for diagnosing failures in complex multi-agent systems where traditional logging produces an overwhelming and unstructured stream of events.

AgentOps supports cost tracking across more than 400 LLM models, automatically calculating token usage and attributing costs to specific agents, sessions, and workflows. For teams running agents at scale, this granular cost visibility can surface optimization opportunities that significantly reduce operational expenses.

The platform provides native integrations with major agent frameworks including CrewAI, AutoGen, LangChain, and the OpenAI Agents SDK, while also supporting custom instrumentation through its Python and TypeScript SDKs. AgentOps is fully open source under the MIT license, with options for both cloud-hosted and self-hosted deployment.

For production environments, AgentOps delivers real-time dashboards, alerting, and aggregate analytics that help teams monitor agent health, detect anomalies, and maintain quality of service. The platform also includes prompt injection detection through its PromptArmor integration, adding a security layer for agents operating in untrusted environments.