Langfuse Alternative · EU · Self-hosted · Open Core

Looking for a Langfuse alternative?
Same observability. Stronger compliance posture.

Langfuse is a solid open-source choice — but enterprise-grade compliance (DPA, SOC 2 readiness, audit logs, EU residency on managed cloud) and air-gap mode require effort. AgentLens ships those by default.

Book a Migration Call See Live Demo →

Quick Comparison

Feature-by-feature

Capability	AgentLens	Langfuse
Self-hosted deployment	✓ open-core, BSL 1.1	MIT, fully open-source
Air-gap mode (zero outbound)	✓ single env var, tcpdump-verified	Manual config
EU-hosted managed cloud (default)	✓ Frankfurt	EU optional
Audit log + GDPR right-to-erasure	✓ Scale plan	DIY
Automatic quality + hallucination scoring	✓ heuristic, no judge calls	Eval framework, paid LLM judge
Agent waterfall debugger	✓	✓
Cost / budget alerts with webhooks	✓	Limited
Framework-agnostic SDK	✓	✓
Production support SLA	✓ Scale+	Enterprise add-on

Based on public Langfuse pricing as of May 2026. Verify at https://langfuse.com/pricing.

When to choose what

Honest recommendation

Choose Langfuse if…

You want a fully MIT-licensed stack with no commercial restrictions
Your compliance bar is low or you have time to DIY it
You're comfortable on a smaller managed plan ($59-200/mo)
You want LangChain integrations as a primary feature

Choose AgentLens if…

Your buyer requires DPA + audit log + retention policy on day one
You need air-gap mode that's verifiable, not configurable
You want heuristic evaluation that doesn't make outbound LLM judge calls
You want an EU-first managed cloud (Frankfurt-hosted by default)
Production SLA matters

Migration

Switching from Langfuse takes ~30 minutes

Both tools share a similar mental model. The SDK surface is different but migration is mechanical.

# Before (Langfuse)
from langfuse import Langfuse
langfuse = Langfuse(public_key="...", secret_key="...")
 
# After (AgentLens)
import agentlens
agentlens.init("http://localhost:8000/ingest")
agentlens.patch_openai()  # or patch_anthropic()

FAQ

Common questions

Can I migrate from Langfuse without rewriting my agent?

Yes — both use a span/trace model. The SDK call surface differs but the wrapper code is mechanical. ~30 min for a typical agent.

Does AgentLens have feature parity with Langfuse?

Core observability — yes. Langfuse has a more mature LLM-as-judge eval framework. AgentLens leans on heuristic scoring + agent debugging + compliance workflows. Pick based on which mix you need.

What's the licensing difference?

Langfuse is fully MIT. AgentLens server is BSL 1.1 (converts to Apache 2.0 in 2030); SDK is MIT. The BSL only restricts offering AgentLens itself as a competing hosted service — internal production use is unrestricted.

Why pick AgentLens over a free MIT tool?

Compliance (DPA, audit log, retention), production support SLA, EU residency by default, and air-gap mode that's verifiable rather than configurable.

Looking for a Langfuse alternative?Same observability. Stronger compliance posture.