Langfuse vs LangGraph
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Langfuse | LangGraph |
|---|---|---|
| Pricing | Freemium (Cloud: free tier, paid plans from $59/mo; self-hosted: MIT license) | Free (MIT license; LangSmith paid tiers for hosting/deployment) |
| Core Focus | Observability, prompt management, evaluation, experimentation | Agent orchestration, stateful multi-agent workflows, human-in-the-loop |
| Best For | Engineering teams debugging production LLM apps, prompt management, evals | Developers building complex, reliable stateful agents with custom control flow |
| Key Feature | LLM-as-a-judge evals, one-click prompt rollback, full-text trace search | Graph-based state management, human-in-the-loop, token streaming |
| Integration | 100+ frameworks (LangChain, Vercel AI SDK, LiteLLM, etc.) | Deep integration with LangSmith; model-agnostic (OpenAI, Anthropic, Google, etc.) |
| Latest News Highlight | 2026-06: Multi-modal datasets, Monitors & Alerts, Langfuse Assistant beta | 2026-06: Prompt caching in Deep Agents, memory tutorials, Box AI case study |
Choose Langfuse if your priority is observability, debugging, and prompt management for production LLM apps, with a need for multi-modal evals and alerts. Choose LangGraph if you're building complex, stateful multi-agent systems that require fine-grained workflow control, human oversight, and deep integration with LangSmith for evaluation. They can complement each other—use LangGraph for orchestration and Langfuse for observability.
Open-source LLM observability that traces, evaluates, and manages prompts from prototype to production.
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Open-source framework for building reliable, stateful AI agents with low-level control.
Visit WebsiteWho should pick which
- Solo developer building a simple chatbotPick: Langfuse
Langfuse offers free tier trace logging and prompt management with minimal setup, ideal for debugging and iteration without complex orchestration.
- Enterprise team building a multi-agent system with human oversightPick: LangGraph
LangGraph provides graph-based state management, human-in-the-loop checks, and fault tolerance needed for production-grade multi-agent workflows.
- ML engineer running LLM evaluations and experimentsPick: Langfuse
Langfuse's built-in LLM-as-a-judge evals, experiment comparison, and multi-modal datasets are purpose-built for systematic evaluation.
- Startup scaling LLM prompts and need rollback/deploymentPick: Langfuse
One-click prompt deployment and rollback in Langfuse reduce risk when iterating prompts in production.
- DevOps engineer deploying a high-availability agentPick: LangGraph
LangGraph's retries, timeouts, error handlers, and token streaming are essential for reliable agent operations at scale.
Frequently Asked Questions
Langfuse vs LangGraph: which should you choose?
Choose Langfuse if your priority is observability, debugging, and prompt management for production LLM apps, with a need for multi-modal evals and alerts. Choose LangGraph if you're building complex, stateful multi-agent systems that require fine-grained workflow control, human oversight, and deep integration with LangSmith for evaluation. They can complement each other—use LangGraph for orchestration and Langfuse for observability.
Can I use Langfuse and LangGraph together?
Yes, they are complementary. LangGraph orchestrates agents; Langfuse monitors them. Many teams use both.
Which tool is best for prompt versioning?
Langfuse offers one-click prompt deployment and rollback, making it better for prompt management than LangGraph.
Is LangGraph free to use?
LangGraph framework is MIT-licensed and free, but deploying agents may require LangSmith (paid tiers).
Does Langfuse support self-hosting?
Yes, Langfuse is self-hostable under MIT license, ideal for SOC 2/HIPAA compliance.
Does LangGraph support human-in-the-loop?
Yes, LangGraph has built-in human-in-the-loop checks for agent moderation.
Which tool has multi-modal support?
Langfuse recently added multi-modal datasets (images, audio, video, documents). LangGraph does not specialize in multi-modal.
Which integrates with LangSmith?
LangGraph integrates natively with LangSmith. Langfuse is an alternative to LangSmith.
Which is better for simple logging?
Langfuse's free tier is easier for simple logging. LangGraph requires defining a graph, overkill for basic calls.
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Last reviewed: May 12, 2026