These tools competes with
AgentOpsvsLangSmith
Observability and replay platform built specifically for AI agents versus LLM tracing, evaluation, and dataset management
Compare interactively in Explore →Choose AgentOps when…
- •monitoring multi-agent systems with complex tool-calling flows
- •need session replay to debug agent behavior
- •want cost tracking at the agent session level
Choose LangSmith when…
- •You're already in the LangChain ecosystem
- •You want end-to-end tracing for LangChain apps
- •Dataset management and evals are part of your workflow
Side-by-side comparison
Field
AgentOps
LangSmith
Category
observability
LLM Infrastructure
Type
Commercial
Commercial
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Free: $0Pro: Usage-based
Plus: $39/mo
GitHub Stars
⭐ 3,100
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Health
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AgentOps
AgentOps provides session replay, cost tracking, and error monitoring designed for AI agents — not just LLM calls. It captures the full agent execution tree including tool calls, decisions, and multi-agent interactions, with a visual session replay for debugging.
LangSmith
LangChain's observability platform. Trace every LLM call, run evals on datasets, and manage prompts in production.
Shared Connections1 tools both integrate with
Only AgentOps (2)
LangSmithMaxim AI
Only LangSmith (8)
LangGraphLangChainCursorPydanticAIBraintrustHeliconeWeights & BiasesAgentOps
Explore the full AI landscape
See how AgentOps and LangSmith fit into the bigger picture — 207 tools, 452 relationships, all mapped.