LangWatch vs AgentOps
Both are agent evaluation tools. Here is how they actually differ on price, billing model and deployment.
LangWatch
Apache-2.0 agent evaluation built around simulation - an Agent Under Test, a User Simulator and a Judge, run through pytest in CI. That architecture is the right shape for agents and almost nothing else here has it.
AgentOps
MIT-licensed agent observability with session replay and rewind, integrating in two lines across 400+ frameworks. Its free tier meters events rather than runs, which makes 5,000 far smaller than it looks.
| LangWatch | AgentOps | |
|---|---|---|
| Category | Agent Evaluation | Agent Evaluation |
| Our rating | 5/5 | 4/5 |
| Starting price | Event-based, rates not published | $40/mo |
| Billing meter | event | event |
| Free plan | Yes | Yes |
| Free self-hosting | Yes, free | Yes, free |
| Best for | Teams building multi-turn or multi-agent systems who need evaluation that models conversations rather than scoring single outputs, and who want it running in CI. | Teams debugging multi-agent systems who want session replay and broad framework coverage with minimal instrumentation effort, and who will move to the paid tier quickly. |
Our verdict on LangWatch
LangWatch is the strongest agent evaluation tool we have found, and the reason is architectural rather than a feature list. Its scenarios pair three components - an Agent Under Test, a User Simulator Agent that plays the human, and a Judge Agent that scores the result - and run through pytest-compatible runners locally or in CI. That is the correct shape for the problem. You cannot meaningfully evaluate a multi-turn agent by scoring individual outputs, because the failures that matter are trajectory failures, and almost every other tool in this category still treats the single response as the unit. Simulating a conversation and judging the whole thing is what agent evaluation actually requires. It is Apache 2.0 at the core with genuine self-hosting, OpenTelemetry-native so instrumentation stays portable, and billed on ingested events with no per-feature charges. The gaps are honest ones. Per-event rates are not published anywhere we could verify, the ee/ modules are commercially licensed, and running simulations costs real inference since each scenario turn drives several model calls.
Full LangWatch review →Our verdict on AgentOps
AgentOps is the best agent debugging tool in this category, and the distinction from evaluation matters. Its session replay with rewind and point-in-time control lets you step back through an agent run rather than reading a flat trace after the fact, which is the right interaction model for systems whose failures are sequential. Add two-line initialisation across 400+ LLMs and frameworks, MIT licensing with the full app self-hostable, and it is unusually easy to adopt. The thing to understand before you plan around the free tier is the unit. Five thousand events sounds generous until you realise an event is each tracked item - every LLM call, tool call and action - so a single agent run emitting a dozen events means the free tier is a few hundred runs, not five thousand. For anything agentic that is days rather than months. Pro at $40 a month with unlimited events removes the problem entirely and is cheap, so treat the free tier as a trial and budget for Pro from the start.
Full AgentOps review →Frequently Asked Questions
What is the main difference between LangWatch and AgentOps?
LangWatch: Teams building multi-turn or multi-agent systems who need evaluation that models conversations rather than scoring single outputs, and who want it running in CI. AgentOps: Teams debugging multi-agent systems who want session replay and broad framework coverage with minimal instrumentation effort, and who will move to the paid tier quickly. Both sit in Agent Evaluation, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, LangWatch or AgentOps?
It depends entirely on your workload shape, because they meter differently - LangWatch bills on event and AgentOps bills on event. Published starting prices are Event-based, rates not published and $40/mo respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.
Can I self-host LangWatch or AgentOps?
LangWatch: Yes, free. AgentOps: Yes, free. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.