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.
Product overview
Capabilities, pricing and fit
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.
Information as of July 30, 2026
What it can do
- 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 (1)
- AgentOpsOfficial site · checked 2026-07-30
Autonomy level
37/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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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AI Agent Store · Specialist AI agentsFor llm evaluation consultancies
Your AI agent for agent debugging and quality checks.
Exploring AgentOps? For LLM evaluation consultancies, your own AI agent can define representative evaluations, run comparable model tests, and deliver evidence-backed recommendations. Start with a setup tailored to this work.
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Tailored starting setup. Chat on our site. See the workflow and monthly plan.