AgentOps vs LangSmith
AgentOps
agentops.ai
LangSmith
langchain.comSide by side
| Figure | AgentOps | LangSmith |
|---|---|---|
| Price from | $40/mo | $39/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · LLM Observability Tools | 9.3 (#1) | 9.0 (#5) |
| Spec score · AI Agent Observability Tools | 9.3 (#2) | 9.1 (#4) |
| Spec score · Llm Monitoring | 9.2 (#2) | 8.9 (#6) |
| Documentation | Documentation includes quickstarts, integration guides, examples and self-hosting instructions. | LangChain publishes reference documentation, integration guides, deployment instructions, a CLI guide and a REST API reference. |
| Founded | LinkedIn and G2 list the company as founded in 2023. | 2023 |
| Headquarters | Delray Beach, Florida, United States | San Francisco, California, United States |
| Rating on G2 | 0.0 out of 5 from 0 reviews | 4.4 out of 5 from 78 reviews. |
| SDKs | The documentation says AgentOps is available for Python and TypeScript/JavaScript applications. | Official SDK documentation is provided for Python, JavaScript/TypeScript, Go and Java. |
| Self-hosting | The repository documents running the full dashboard and API backend on a user's own machine, while the enterprise plan lists AWS, GCP and Azure self-hosting. | Enterprise customers can run LangSmith self-hosted or hybrid on Kubernetes in AWS, Google Cloud or Azure. |
| Support | Pro includes dedicated Slack and email support, while Enterprise adds SLA and Slack Connect. | The Developer plan includes community support, and the Enterprise plan lists a support SLA. |
| What it does | AgentOps is a developer platform for tracing, debugging and deploying AI agents and LLM applications. | LangSmith is LangChain's framework-agnostic platform for observing, evaluating and deploying AI agents. |
Plans
In their own words
LangSmith
LangSmith is a commercial agent-engineering platform for building, evaluating, deploying, monitoring, and improving AI agents. It supports offline evaluations on curated datasets and real-time scoring of production interactions. Evaluation methods include human review, heuristic checks, LLM-as-judge evaluators, pairwise comparisons, and custom Python or TypeScript evaluators. Annotation queues route runs to subject-matter experts for feedback that can calibrate evaluations, improve prompts, or augment datasets. The Playground compares prompt versions or model providers, and LangSmith chat can auto-improve prompts. Observability includes agent and retrieval tracing, token and general cost tracking, trajectory monitoring, online evaluations, and webhook or PagerDuty alerts. Traces can arrive through SDKs or an API from LangGraph, custom Python, or other stacks; SDKs are listed for Python, TypeScript, Go, and Java. Hosting ranges from cloud to hybrid and self-hosted Enterprise options. The Developer plan costs nothing, Plus costs $39 a month, and Enterprise pricing is custom.