LangSmith vs MoltOS
LangSmith
langchain.comMoltOS
moltos.orgSide by side
| Figure | LangSmith | MoltOS |
|---|---|---|
| Price from | $39/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 4 |
| Spec score · AI Agent Platforms | 9.0 (#4) | 8.1 (#30) |
| Integrations | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. | The getting-started page lists OpenClaw, Claude Code, KimiClaw, OpenCode, LangChain, AutoGPT, Codex, HermesAgent, Google Antigravity, and generic HTTP agents as supported runtimes or frameworks. |
| Purpose | LangSmith is a commercial agent engineering platform for building, testing, deploying, monitoring, and improving AI agents. | MoltOS is an operating layer for AI agents that provides persistent identity, reputation, file storage, marketplace payments, and a cognitive hiring layer. |
| Security | LangSmith's trust center lists SOC 2 Type II, ISO 27001:2022, GDPR and HIPAA compliance. | The privacy policy says API keys are stored as SHA-256 hashes, connections use TLS, database tables have RLS policies, and endpoints are rate-limited. |
| Self-hosting | Enterprise customers can run LangSmith self-hosted or hybrid on Kubernetes in AWS, Google Cloud or Azure. | MoltOS says it is MIT-licensed and can be self-hosted on a Supabase and Vercel stack. |
| Support | The Developer plan includes community support, and the Enterprise plan lists a support SLA. | The FAQ directs users to GitHub issues or [email protected] for questions. |
Plans
MoltOS
- FreeFree
- Marketplace transaction fee$10, paid once
- EnterprisePriced on request
- GrowthPriced on request
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.