These tools competes with
AgentOpsvsLangfuse
Observability and replay platform built specifically for AI agents versus OSS LLM engineering platform
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 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
LLM Infrastructure
Type
Commercial
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Free: $0Pro: Usage-based
Cloud: $59/mo
GitHub Stars
⭐ 3,100
⭐ 7,000
Health
—
●80 — 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.
Shared Connections1 tools both integrate with
Only AgentOps (2)
LangfuseMaxim AI
Only Langfuse (29)
Claude CodeCrewAILangGraphLangChainCursorLlamaIndexOpenHandsDifyMastraAutoGen
Explore the full AI landscape
See how AgentOps and Langfuse fit into the bigger picture — 207 tools, 452 relationships, all mapped.