AgentOps is an open-source observability SDK for AI agents, with session replay, time-travel debugging, and cost tracking across 400+ LLMs and frameworks.
Langfuse is an open-source LLM observability platform that provides tracing, analytics, prompt management, and evaluation for AI applications. It captures detailed traces of LLM calls, supports custom scoring, and integrates with LangChain, LlamaIndex, Vercel AI SDK, and raw API calls. Langfuse can be self-hosted for data privacy or used as a managed cloud service. Its open-source model and generous free tier make it popular with startups and developers.
Core capabilities each platform advertises.
AgentOpsWhat each tool does well, and the limitations to keep in mind.
AgentOpsPros
Cons
Pros
Cons
Choose AgentOps if you wantChoose if you want
Choose Langfuse if you wantChoose if you want
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
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