Comparison
Syrin vs Langfuse
Langfuse logs what happened. Syrin tells you when something is wrong - and lets you fix it.
SSyrin
Syrin is the runtime control layer for AI agents - mission control for production. Not just a trace viewer: it catches behavioral drift automatically, recovers agents without redeploying, and lets you change any config value live. Built for teams who need to act, not just observe.
LLangfuse
Langfuse is an open-source LLM observability platform with trace logging, prompt management, evals, and a dataset framework. It is strong for offline evaluation workflows and is widely used in the open-source community.
Feature comparison
Syrin wins 4 of 9 categories. Langfuse wins 5.
| Feature | Syrin | Langfuse |
|---|---|---|
| Behavioral drift detection | Automatic, multi-dimensional (semantic, tool pattern, goal) | Not available |
| Production recovery | One-click restore to any checkpoint, no deploy | Not available |
| Live config management | Agent Config: change any value without deploying, free forever | Prompt management (version-controlled but requires deploy) |
| Distributed tracing | Full multi-agent waterfall trace | Full trace support across frameworks |
| Evals and datasets | A/B experimentation with live traffic and statistical significance | Rich offline eval framework with LLM-as-judge and human annotation |
| Agent governance | Policy enforcement, approval workflows, audit trail | Not available |
| Framework support | Any: LangChain, AutoGen, LlamaIndex, CrewAI, n8n, custom | Any (framework-agnostic) |
| Open source | SDK is open source, self-host available | Fully open source, self-host first |
| Free tier | 25K traces/mo, Agent Config free forever | Generous free cloud tier + fully free self-host |
Choose Syrin when...
- You need drift detection to catch silent failures before customers do
- You need to recover a misbehaving agent without a redeploy
- You want live configuration changes without a deploy cycle
- You have compliance requirements and need governance policies
- You are running agents in production and need a control plane, not just logging
Choose Langfuse when...
- You want a fully open-source, self-hostable platform
- You need a mature human annotation and dataset eval workflow
- Your primary need is offline evaluation with LLM-as-judge
- You want the largest open-source community and integrations
Frequently asked questions
Syrin vs Langfuse
See Syrin for yourself
Free tier. 2-minute setup. Works with your existing agent code.