AgentOps vs Helicone
A side-by-side comparison of AgentOps and Helicone, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | AgentOps | Helicone |
|---|---|---|
| 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 | Helicone |
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
Helicone
Fastest setup in the category: change one base URL, no SDK, and the open-source proxy can be self-hosted.
- No SDK or code changes to integrate
- Open source, self-hostable
- Built-in caching and rate-limit handling
- Multi-provider gateway
- Request/response focused, not span-based
- Weaker multi-step agent tracing
- Proxy adds a network hop
- Lighter eval tooling than Langfuse