AgentOps vs LangSmith
Side-by-side comparison of AgentOps and LangSmith: pricing, features, API access, and community ratings.
AgentOps stands out with its unique Time Travel Debugging feature that lets you rewind and replay agent runs, plus broader framework compatibility across 400+ LLMs and agent systems. LangSmith offers tighter integration with the LangChain ecosystem (zero-config setup) and more robust evaluation tools including dataset management and A/B testing for prompts. Choose AgentOps if you need framework flexibility and debugging power across diverse agent architectures, or LangSmith if you're invested in the LangChain ecosystem and prioritize systematic testing and prompt experimentation.
AgentOps Trace, Debug, & Deploy Reliable AI Agents — the leading developer platform for AI agents and LLM apps. | LangSmith The end-to-end platform for building, testing, and monitoring LLM-powered applications | |
|---|---|---|
| Category | AI observability | AI observability |
| Pricing | Freemium | Freemium |
| Starting price | USD 40/mo | |
| Free tier | ||
| Audience | Technical | Technical |
| API available | ||
| Open source | ||
| Self-hostable | ||
| Model provider | LangChain (model-agnostic) | |
| Founded | 2023 | 2023 |
| Headquarters | San Francisco, USA | |
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