These tools competes with

AgentOpsvsLangfuse

Observability and replay platform built specifically for AI agents versus OSS LLM engineering platform (acquired by ClickHouse, Jan 2026)

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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 Langfuse when…

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

Side-by-side comparison

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

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 ↗

Langfuse

Open-source platform for tracing, evaluations, and prompt management. Self-hostable alternative to LangSmith with broad framework support. Acquired by ClickHouse in January 2026; OSS core continues with deeper ClickHouse-backed analytics.

Website ↗GitHub ↗

Shared Connections1 tools both integrate with

LangSmith

Only AgentOps (2)

LangfuseMaxim AI

Only Langfuse (30)

Claude CodeCrewAICursorLangGraphLangChainOpenHandsAutoGenLlamaIndexDifyMastra

Explore the full AI landscape

See how AgentOps and Langfuse fit into the bigger picture — 235 tools, 543 relationships, all mapped.

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