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AgentOps is a developer platform for testing, debugging, and monitoring AI agents. It provides deep visibility into agent behavior—including LLM calls, tool usage, and multi-agent interactions—across the full lifecycle from prototype to production.
| Attribute | Details |
|---|---|
| Category | AI Agent Builder |
| Primary Focus | Agent testing, debugging, and observability |
| Pricing | Free tier available · Paid plans from $40/month |
| Source Type | Open Source |
| Tags | Agent Testing |
| Target Users | Developers, AI engineers, platform teams |
AgentOps is designed to simplify the development and reliability of AI agents by offering comprehensive observability and debugging tools. Developers can visually track events such as LLM calls, tool invocations, and multi-agent coordination.
A key capability is time-travel debugging, which allows rewinding and replaying agent runs to pinpoint issues with precision. AgentOps also maintains a detailed audit trail—including logs, errors, token usage, costs, and prompt-injection signals—helping teams test, secure, and optimize agents before and after deployment.
(Informational listing only)
Other tools in the Agent Testing / Monitoring space include:
(Listed for discovery purposes only. No comparison or endorsement implied.)
AgentOps is used to test, debug, and monitor AI agents by providing visibility into LLM calls, tools, and agent interactions.
Yes. AgentOps allows developers to rewind and replay agent runs to identify errors and unexpected behavior.
Yes. The platform includes token counting and cost tracking for LLM usage.
Yes. AgentOps integrates with a range of agent frameworks and supports multi-agent workflows.
Yes. AgentOps is an open-source platform with optional paid plans.
Yes. AgentOps offers a free tier, with paid plans starting from $40 per month.
This listing is part of the AI Agent Directory on topaiagent.ai.
Listings are informational only. Reviews, comparisons, and benchmarks are published separately.