AgentOps
Developer observability platform for building, monitoring, and debugging AI agents in production.
Why choose AgentOps
AgentOps is a developer platform for building, testing, monitoring, and debugging AI agents in production. As AI agents proliferate in 2026, AgentOps provides the observability layer that engineering teams need — tracking every LLM call, tool use, and decision trace across agent runs with millisecond precision. It supports all major agent frameworks including LangChain, CrewAI, AutoGen, and LlamaIndex, and provides replay debuggers, cost tracking, latency metrics, and failure analysis. Trending strongly among backend and ML engineers building production-grade agent systems, AgentOps is becoming the de facto standard for agent observability in the same way Datadog is for infrastructure.
- Works with all major agent frameworks
- Excellent replay debugger
- Fast setup
Where it falls short
- Paid tier needed for production scale
- Newer platform
- Some framework integrations still maturing
Best for these users
Pricing overview
Free tier available; paid plans from $49/month
Check current pricing →Key features
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The verdict
AgentOps is a solid choice for business teams who need works with all major agent frameworks. At starting at $49/mo, it delivers good value. Main caveat: paid tier needed for production scale. Compare with alternatives before committing.