Langfuse is a solid tool. But it runs on Postgres + ClickHouse + Redis, and the eval layer is DIY. AgentLens runs on SQLite, ships quality scoring out of the box, and focuses on what teams actually need on day one: is my LLM output any good?
| Capability | AgentLens | Langfuse |
|---|---|---|
| Open source (MIT) | ✓ 100% MIT | ✓ core MIT, some under EE |
| Self-hostable | ✓ | ✓ |
| Minimum infra to self-host | 1 container + SQLite | Postgres + ClickHouse + Redis |
| Fits on €5 VPS | ✓ | ✗ needs ~€30+/mo |
| Auto quality scoring (zero config) | ✓ | Manual eval setup |
| Hallucination detection | ✓ built-in | Custom eval required |
| Agent waterfall debugger | ✓ | ✓ |
| Prompt management | Debugger only | ✓ full prompt mgmt |
| Framework-agnostic SDK | ✓ | ✓ |
| Managed hosting entry price | €299 / mo flat | Free tier + $59/seat Core |
Based on public Langfuse pricing as of April 2026. Verify at langfuse.com/pricing.
Yes — fully MIT licensed. Langfuse is MIT for core with some features under commercial license. Both are self-hostable.
Quality scoring + hallucination detection out of the box. Runs on SQLite (no ClickHouse cluster). Faster to self-host on small infra.
Yes. Both use a decorator/SDK model. Typical migration is under an hour.
AgentLens: single container on a €5 VPS. Langfuse: Postgres + ClickHouse + Redis, typically €30-50/mo in infrastructure.
Not yet. AgentLens focuses on observability and debugging. If prompt versioning/deploy is your top need, Langfuse is stronger there.
15-minute migration call. We'll show you a 2-line integration on your own stack.