Evidently AI and LangSmith both offer robust observability solutions, but Evidently AI is distinguished by its open-source, offline capability and free usage model with 7,420 GitHub stars, supporting a localized approach. In contrast, LangSmith offers comprehensive cloud-based observability for AI agents with extensive integration options, though it faces criticism due to its paid access.
Best for
LangSmith is the better choice when a larger organization needs robust cloud-based solutions with comprehensive debugging and tracking capabilities for complex AI agent systems.
Best for
Evidently AI is the better choice when privacy and local deployment are priorities, especially for smaller teams monitoring machine learning models with limited budgets.
Key Differences
Verdict
Evidently AI is ideal for small teams needing a cost-effective, open-source solution with offline capabilities, prioritizing privacy and modular integration. Larger enterprises or those managing AI agents in diverse system environments might prefer LangSmith for its extensive cloud integrations and comprehensive monitoring capabilities, despite its subscription cost.
LangSmith
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LangSmith is recognized for its capabilities in providing observability for AI agents, a necessary feature due to the risk associated with running these agents in production environments. A key complaint highlighted is that LangSmith is a cloud-only service with paid access, which may not be ideal for all users, especially those preferring open-source alternatives. The general sentiment around its pricing is somewhat negative, as users express a preference for non-commercial options. Overall, LangSmith appears to have a solid reputation for its functional strengths but faces criticism regarding its availability and cost structure.
Evidently AI
Ensure your AI is production-ready. Test LLMs and monitor performance across AI applications, RAG systems, and multi-agent workflows. Built on open-so
"Evidently AI" is highlighted in social mentions as a locally run, free AI tool designed to streamline repetitive tasks such as re-explaining project details, which users find useful. Its main strength is its ability to operate completely offline, enhancing privacy and control for users. Key complaints or detailed criticisms are not prominent in the mentions provided, suggesting either limited exposure or generally positive reception. Overall, the sentiment appears favorable, especially among users looking for a free and local AI assistant solution. Pricing sentiment is positive due to its free usage model.
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Pricing found: $80 /month, $10, $1
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Ask HN: How are you monitoring AI agents in production?
With the recent incidents (DataTalks database wipe by Claude Code, Replit agent deleting data during code freeze), it's clear that running AI agents in production without observability is risky.<p>Common failure modes I've seen: no visibility into what the agent did step-by-step, surprise
Evidently AI
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LangSmith is better suited due to its specialized features in tracking and managing AI agent deployments.
Evidently AI is free and open-source, whereas LangSmith requires a paid subscription, potentially making it more costly.
Evidently AI, with its open-source nature and 7,420 GitHub stars, likely benefits from broader community engagement than LangSmith.
Yes, they can complement each other; Evidently AI can handle local deployments while LangSmith manages cloud-based agent observability.
Evidently AI might be easier for small teams familiar with open-source platforms, while LangSmith involves more setup due to its cloud-based nature.
