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Head-to-head · AI Agent Observability Tools

Langfuse vs HoneyHive

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Langfuse #2 in AI Agent Observability Tools 9.2/10 Free plan Free plan✓ 1 of 3 features Visit Langfuse
HoneyHive #5 in AI Agent Observability Tools 8.8/10 Free plan Free plan✓ 1 of 3 features Visit HoneyHive

Langfuse leads on 0 checks, HoneyHive on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreLangfuse · 9.2/10
  • Free planboth

Langfuse scores higher on our rubric for ai agent observability tools: 9.2 against 8.8 out of 10; our editors rank them #2 and #5.

Langfuse is the better fit for teams needing mature end-to-end LLM tracing. HoneyHive is the better fit for teams focused on production agent quality.

  • Langfuse fits best

    Teams needing mature end-to-end LLM tracing

  • HoneyHive fits best

    Teams focused on production agent quality

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Side by side

Feature Langfuse 9.2/10 Visit ↗ HoneyHive 8.8/10 Visit ↗
At a glance
Editor score 9.2 8.8
Ranking #2 in AI Agent Observability Tools #5 in AI Agent Observability Tools
Best for Teams needing mature end-to-end LLM tracing Teams focused on production agent quality
Pricing model Free plan + paid Free plan + paid
Starting price $29/mo —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Email, Live chat, Community, Docs Email, Community, Docs
Compliance SOC 2, ISO 27001, GDPR, HIPAA SOC 2, GDPR, HIPAA, SSO/SAML, 2FA
Integrations 100+ integrations 100+ integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Langfuse 1/3 · HoneyHive 1/3
Session replay Not checked yet Not checked yet
Prompt and tool tracing Not checked yet Not checked yet
Cost tracking ✓ ✓
Specs
Trace retention Not checked yet Not checked yet
Deployment options Not checked yet Not checked yet
Agent framework support Not checked yet Not checked yet
Our review
Pros
  • Traces LLM calls, agents, tools, and retrieval steps
  • Includes evaluations, prompt management, datasets, and experiments
  • Cloud and self-hosted deployment with 100 integrations
  • Traces prompts, tools, retrieval steps, and agent handoffs
  • Combines automated, human, and LLM-judge evaluations
  • Supports prompt deployments, regression tracking, drift detection, and alerts
Cons
  • Hobby limits usage, data access, and users
  • Teams features require a $300 monthly add-on
  • Enterprise capabilities are concentrated in higher tiers
  • Enterprise capabilities use custom pricing
  • SAML and custom SSO are limited to Enterprise
  • Self-hosted, hybrid, and single-tenant options are Enterprise features
Our verdict

Langfuse is an open-source AI engineering platform for teams building and operating LLM applications. It records structured traces for model calls, agents, tool calls, and retrieval steps, while also covering prompt management,…

Read the review →

HoneyHive is an AI observability and evaluation platform for developers, AI engineering teams, and enterprises operating LLM applications and agents. It records distributed traces across prompts, model calls, tools, retrieval steps, and…

Read the review →
  1. LangfuseAI Agent Observability Tools 9.2Free plan
  2. HoneyHiveAI Agent Observability Tools 8.8Free plan

Strengths and trade-offs

  • Langfuse — where it wins

    • Traces LLM calls, agents, tools, and retrieval steps
    • Includes evaluations, prompt management, datasets, and experiments
    • Cloud and self-hosted deployment with 100 integrations

    Where it doesn't

    • Hobby limits usage, data access, and users
    • Teams features require a $300 monthly add-on
    • Enterprise capabilities are concentrated in higher tiers
  • HoneyHive — where it wins

    • Traces prompts, tools, retrieval steps, and agent handoffs
    • Combines automated, human, and LLM-judge evaluations
    • Supports prompt deployments, regression tracking, drift detection, and alerts

    Where it doesn't

    • Enterprise capabilities use custom pricing
    • SAML and custom SSO are limited to Enterprise
    • Self-hosted, hybrid, and single-tenant options are Enterprise features

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update