Langfuse
Open Source LLM Engineering Platform
OpenMemory MCP
Memory for your AI Tools
Updated February 2026
| Langfuse | OpenMemory MCP | |
|---|---|---|
| Rating | 5.0★ | 5.0★ |
| Reviews | 41 | 1 |
| Pros | 18 | 0 |
| FactScore™ | 81.2 | 15.1 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in Langfuse — Pros
LLM observability Open source Detailed tracing Monitoring capabilities Cost-effective Easy to integrate Free tier SDK availability Seamless integration Debugging tools Fast iterations Insightful analytics Community engagement Detailed analytics Excellent UI Flexible architecture Open API Robust telemetryBoth tools — Pros
—Only in OpenMemory MCP — Pros
No unique pros listedOnly in Langfuse — Cons
—Both tools — Cons
—Only in OpenMemory MCP — Cons
—Details
| Langfuse | OpenMemory MCP | |
|---|---|---|
| Categories | AI Infrastructure Tools, AI Metrics and Evaluation | AI Infrastructure Tools, LLM Memory |
| Platforms | Web | Web |
| Became Popular | August 20, 2023 | May 30, 2025 |
| Website | langfuse.com | openmemory.dev |
Who Should Pick Which?
Choose Langfuse if...
- LLM observability
- Open source
- Detailed tracing
Choose OpenMemory MCP if...
- No unique pros listed
With a FactScore™ of 81.2 vs 15.1, Langfuse leads in community reception. Langfuse uniquely offers LLM observability and Open source, while OpenMemory MCP stands out for No unique pros listed.
What Users Say
Langfuse
Without Langfuse, we would have been flying blind with our drafting agent. This platform is critical not just for measuring performance, but for understanding exactly what context gets pulled into ...
So excited to see Langfuse go live — we've been a happy user for 4 weeks now. Most detailed latency and analytics in the market. Highly recommend for anyone using complex chains or with user-f...
We’ve been unsung Langfuse for 2 months now. It’s easy to integrate and makes it simpler for us to monitor & debug LLM requests during development and beyond.
OpenMemory MCP
I often face the issue of memory amnesia while working on varied AI tools, and I have been using it for the last 10 days, and it has helped me in creating a unified way of maintaining productivity.
Related Comparisons
Frequently Asked Questions
Which is better, Langfuse or OpenMemory MCP?
Based on FactScore™, Langfuse leads with a score of 81.2 vs 15.1. Langfuse has a higher rating of 5.0★ compared to 5.0★.
What are the pros of Langfuse compared to OpenMemory MCP?
Langfuse uniquely offers: LLM observability, Open source, Detailed tracing, Monitoring capabilities, Cost-effective.
What are the pros of OpenMemory MCP compared to Langfuse?
OpenMemory MCP uniquely offers: No unique pros listed.
Is Langfuse better rated than OpenMemory MCP?
Langfuse is rated 5.0★ from 41 reviews. OpenMemory MCP is rated 5.0★ from 1 reviews.
What is the FactScore™ of Langfuse and OpenMemory MCP?
FactScore™ weighs rating and review volume together. Langfuse scores 81.2 and OpenMemory MCP scores 15.1.
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