AgentOps vs Langfuse
A side-by-side comparison of AgentOps and Langfuse, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Langfuse
ObservabilityOpen-source LLM observability. Self-hostable, OpenTelemetry-native.
View LangfuseAt a glance
| Attribute | AgentOps | Langfuse |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | Web, API | API, Web |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | AgentOps | Langfuse |
The honest brief
AgentOps
Purpose-built for multi-step agents — session replay with time-travel debugging and per-run cost tracking, not just flat LLM-call logging.
- Open-source MIT SDK, two-line setup
- 400+ LLM and framework integrations
- Records every LLM call, tool use, decision
- Agent benchmarking and evaluation
- Free tier to start
- Python/TypeScript SDK-centric
- Full analytics rely on the hosted dashboard
- Younger than general-purpose APM tools
Langfuse
The MIT-licensed, self-hostable answer to LangSmith — own your observability data, framework-agnostic.
- Own your observability data
- Framework-agnostic, OTel-native
- Tracing + evals + prompt mgmt
- Transparent unit-based pricing
- Self-host infra cost at scale
- Less deep LangChain integration
- Setup heavier than hosted-only