AgentOps vs Langfuse
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
AgentOps
Session replay and cost tracking for AI agent debugging
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Langfuse
Open-source LLM observability and analytics
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| RECATOOLS Score | 6.7 / 10 | 8.4 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Freemium | Open Source |
| Free tier | — | — |
| Paid from | — | — |
| Has API | ✓ | ✓ |
| Open source | ✗ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2023 | 2023 |
| Maker | — | — |
| Verdict | Once an agent is doing more than one LLM call, you lose visibility fast — which step looped, which tool call blew the budget, why the output drifted. AgentOps addresses that directly with session replay, per-call cost an... |
Langfuse is a leading open-source LLM observability platform covering tracing, prompt management, evaluations, cost tracking and analytics, with framework-agnostic SDKs that work well alongside LangChain, LlamaIndex or r... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.