AgentOps vs Langfuse vs LangSmith vs Maxim AI
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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LangSmith
LLM observability and evaluation from the LangChain team
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Maxim AI
Agent evaluation, simulation and observability in one workflow
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| RECATOOLS Score | 6.7 / 10 | 8.4 / 10 | 7.9 / 10 | 7.5 / 10 |
| Capability | ||||
| Value for money | ||||
| Ease of use | ||||
| ASEAN readiness | ||||
| API quality | ||||
| Pricing | Freemium | Open Source | Freemium | Freemium |
| Free tier | — | — | — | — |
| Paid from | — | — | — | — |
| Has API | ✓ | ✓ | ✓ | ✓ |
| Open source | ✗ | ✓ | ✗ | ✗ |
| Free to use | ✓ | ✓ | ✓ | ✗ |
| Users | — | — | — | — |
| Founded | 2023 | 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... |
LangSmith is LangChain's first-party platform for tracing, debugging, evaluating and monitoring LLM applications, with the tightest integration into LangChain and LangGraph of any observability tool. It suits teams alrea... |
Maxim's pitch is a single loop instead of stitching together three tools: a prompt playground, an agent simulator that runs conversations against synthetic personas, and production tracing that catches regressions before... |
| Full review → | Full review → | Full review → | Full review → |
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.