Langfuse vs LangGraph
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Langfuse | LangGraph |
|---|---|---|
| Pricing | freemium · from Hobby $0/mo | freemium · from Developer $0/seat per month |
| Best for | AI engineering teams running multi-turn chat or coding agents in production, Enterprises needing self-hosting or a US/EU/JP data region for SOC 2, ISO 27001, or HIPAA | Backend and platform engineers building production agents, Teams needing fine-grained control over agent workflows |
| Standout features | Hierarchical tracing of LLM calls, tool invocations, and retrieval steps · Session tracking for multi-turn conversations and agentic workflows · Per-user token and cost tracking for multi-tenant billing | Graph-based state management for agent control flow · Human-in-the-loop checkpoints to steer and approve agent actions · Built-in memory storing conversation histories across sessions |
| Viability score | 89/100 | 81/100 |
| API | Yes | Yes |
Langfuse is the stronger pick for ai engineering teams running multi-turn chat or coding agents in production; LangGraph fits better for backend and platform engineers building production agents.
Built from live tool data, last verified 2026-09-29.
Open-source LLM observability, prompt management, and evaluation for teams running AI agents in production.
Visit Website
MIT-licensed agent runtime and low-level orchestration framework for building reliable, stateful AI agents.
Visit WebsiteWhat real users say: Langfuse vs LangGraph
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Langfuse
73 mentions across 6 sources · 76% positive (weighted across 6 sources)
Hacker News, YouTube, Product Hunt, Stack Overflow, GitHub, Lemmy
What users praise
- • Open-source and MIT-licensed, avoiding vendor lock-in with self-hosting.
- • Hierarchical traces give great depth for debugging LangChain and LangGraph.
- • Recent v4 boasts up to 165x faster real-time processing with ClickHouse.
- • LLM-as-a-judge and human annotation queues are easy to set up.
What frustrates them
- • Learning curve for beginners; UI/UX less intuitive than some alternatives.
- • Initial setup can be complex, especially for self-hosting.
- • Documentation sometimes too high-level; concrete examples missing.
- • Native SDKs don't cover all languages, requiring extra components.
Researched Sep 9, 2026
LangGraph
117 mentions across 6 sources · 53% positive — mixed (averaged across 6 sources)
Hacker News, YouTube, Bluesky, Stack Overflow, GitHub, Lemmy
What users praise
- • Fine-grained control over agent workflows and state transitions.
- • Excellent for building complex multi-agent and hierarchical systems.
- • Human-in-the-loop checks provide reliable agent moderation.
- • Graph-based orchestration makes deterministic workflows intuitive.
What frustrates them
- • Steep learning curve and API confusion for new users.
- • Gets complicated fast for simple or single-agent tasks.
- • Long tool calls silently re-execute on cloud, wasting cost.
- • Security vulnerabilities can expose files and secrets.
Researched Jul 25, 2026
Frequently Asked Questions
Which is better, Langfuse or LangGraph?
The best choice between Langfuse and LangGraph depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.
What are the main differences between Langfuse and LangGraph?
The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.
Is there a free version of Langfuse or LangGraph?
Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.
More Langfuse or LangGraph comparisons
If you need deep agent debugging with autonomous failure clustering and fix suggestions, LangSmith is the edge. If you want open-source flexibility, self-hosting, and unified prompt management plus ob
Explore each tool further
Browse these categories
One email a week — new tools, honest comparisons, no spam.
Last reviewed: May 12, 2026