From Helicone to Self-Hosted Langfuse: Tracing n8n AI Agents

📰 Medium · AI

Migrate from Helicone to a self-hosted Langfuse observability stack in one evening to gain control over your n8n AI agents

intermediate Published 19 May 2026

Action Steps

Identify your current Helicone setup and dependencies
Backup your existing Helicone data and configurations
Configure a self-hosted Langfuse instance using Docker or Kubernetes
Migrate your n8n AI agents to the new Langfuse instance
Test and validate the functionality of your self-hosted Langfuse stack

Who Needs to Know This

DevOps and AI engineering teams can benefit from this migration to self-hosted Langfuse, gaining control over their n8n AI agents and observability stack

Key Insight

💡 Self-hosting Langfuse provides greater control and flexibility over your n8n AI agents and observability stack