These tools competes with

LangfusevsAgentOps

OSS LLM engineering platform versus Observability and replay platform built specifically for AI agents

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Choose Langfuse when…

  • •You want open-source LLM observability
  • •Self-hosting your tracing stack is important
  • •You need cost tracking across models and users

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

Side-by-side comparison

Field
Langfuse
AgentOps
Category
LLM Infrastructure
observability
Type
Open Source
Commercial
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: $59/mo
Free: $0Pro: Usage-based
GitHub Stars
⭐ 7,000
⭐ 3,100
Health
●80 — Active
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Langfuse

Open-source platform for tracing, evaluations, and prompt management. Self-hostable alternative to LangSmith with clean UX.

Website ↗GitHub ↗

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.

Website ↗GitHub ↗

Shared Connections1 tools both integrate with

LangSmith

Only Langfuse (29)

Claude CodeCrewAILangGraphLangChainCursorLlamaIndexOpenHandsDifyMastraAutoGen

Only AgentOps (2)

LangfuseMaxim AI

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See how Langfuse and AgentOps fit into the bigger picture — 207 tools, 452 relationships, all mapped.

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