AgentOps
Overview
A developer platform for testing and debugging AI agents, offering tools for monitoring, cost tracking, and performance evaluation.
AgentOps is a developer platform designed to facilitate the testing, debugging, and monitoring of AI agents. It provides comprehensive tools for session replay analytics, LLM cost management, and agent benchmarking. With native integrations for frameworks like CrewAI, AutoGen, and LangChain, AgentOps enables developers to build reliable AI agents from prototype to production. The platform offers features such as visual event tracking, time travel debugging, and detailed cost tracking across multiple agents, enhancing the efficiency and reliability of AI agent development.
AI Agent Store research
What the evidence says about AgentOps
AgentOps is best understood as an AI-enabled product. The checked public page supports a focused description: a developer platform for testing and debugging AI agents, offering tools for monitoring, cost tracking, and performance evaluation.
Last reviewed July 30, 2026
Verified capabilities
- Published product capability
A developer platform for testing and debugging AI agents, offering tools for monitoring, cost tracking, and performance evaluation.[1]
Where it fits best
- Monitoring and debugging AI agent performance.[1]
Sources and research method (1)
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
- AgentOpsOfficial site · checked 2026-07-30
Autonomy level
37%
Comparisons
Custom Comparisons
Some of the use cases of AgentOps:
- Monitoring and debugging AI agent performance.
- Tracking and managing costs associated with large language model usage.
- Benchmarking AI agents against a wide range of evaluations.
- Integrating with popular AI frameworks for seamless development.
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Pricing model:
Code access:
Popularity level: 70%
Industries:
AgentOps Video:
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