Compare
OWeb vs LangSmith
LangSmith is the agent engineering platform for tracing, evals, and deploying LLM apps. OWeb is the operator workspace where business teams run autonomous work with memory, tools, and approvals.
LangSmith's pitch
Observe, evaluate, and deploy agents with production-grade LLMOps.
When LangSmith fits
- AI engineers debugging traces, cost, and latency
- Teams running offline/online evals and datasets
- You are building custom agents and need LLM observability
- LangChain / LangGraph or custom stacks need instrumentation
When OWeb fits
- Business operators who need work done, not agent infra
- Connected Gmail, Slack, Sheets, ads, CRM, and browser
- Org memory, library, and scheduled automations
- Human approvals and audit without writing instrumentation
Side by side
LangSmith
OWeb
Category
LLMOps / agent engineering
AI operator workspace
ICP
AI engineers & ML teams
Business operators
Core job
Trace, eval, deploy agents
Run business work with agents
Visibility
Spans, cost, latency, evals
Agent runs, approvals & audit
Integrations
SDKs & frameworks
Ops apps & MCP tools
Outcome
Better agent quality in prod
Finished work in a workspace
Ready to run autonomous work?
Start free. Connect your tools. Delegate your first project in minutes.